[netcdf4-python] 03/10: Imported Upstream version 1.1.7
Sebastiaan Couwenberg
sebastic at moszumanska.debian.org
Fri Mar 20 15:59:46 UTC 2015
This is an automated email from the git hooks/post-receive script.
sebastic pushed a commit to branch master
in repository netcdf4-python.
commit 1872b4db1f57689d8c818359707337189898503e
Author: Bas Couwenberg <sebastic at xs4all.nl>
Date: Fri Mar 20 15:47:24 2015 +0100
Imported Upstream version 1.1.7
---
.gitignore | 1 +
.travis.yml | 16 +
Changelog | 46 +
MANIFEST.in | 2 +
PKG-INFO | 17 +-
README.gh-pages | 11 +
README.md | 51 +-
checkversion.py | 5 +
create_docs.sh | 2 +
docs/api-objects.txt | 8 +-
docs/class-tree.html | 2 +-
docs/help.html | 2 +-
docs/identifier-index.html | 37 +-
docs/index.html | 132 +-
docs/module-tree.html | 2 +-
docs/netCDF3-module.html | 965 -
docs/netCDF3.Dataset-class.html | 919 -
docs/netCDF3.Dimension-class.html | 306 -
docs/netCDF3.MFDataset-class.html | 437 -
docs/netCDF3.Variable-class.html | 842 -
docs/netCDF4-module.html | 132 +-
docs/netCDF4.CompoundType-class.html | 2 +-
docs/netCDF4.Dataset-class.html | 2 +-
docs/netCDF4.Dimension-class.html | 2 +-
docs/netCDF4.Group-class.html | 2 +-
docs/netCDF4.MFDataset-class.html | 32 +-
docs/netCDF4.MFTime-class.html | 6 +-
docs/netCDF4.VLType-class.html | 2 +-
docs/netCDF4.Variable-class.html | 2 +-
docs/netcdftime.netcdftime-module.html | 548 -
docs/netcdftime.netcdftime-pysrc.html | 1199 --
docs/netcdftime.netcdftime.datetime-class.html | 185 -
docs/netcdftime.netcdftime.utime-class.html | 467 -
examples/data/prmsl.2000.nc | Bin 0 -> 8985332 bytes
examples/data/prmsl.2001.nc | Bin 0 -> 8968789 bytes
examples/data/prmsl.2002.nc | Bin 0 -> 8972796 bytes
examples/data/prmsl.2003.nc | Bin 0 -> 8974435 bytes
examples/data/prmsl.2004.nc | Bin 0 -> 8997438 bytes
examples/data/prmsl.2005.nc | Bin 0 -> 8976678 bytes
examples/data/prmsl.2006.nc | Bin 0 -> 8969714 bytes
examples/data/prmsl.2007.nc | Bin 0 -> 8974360 bytes
examples/data/prmsl.2008.nc | Bin 0 -> 8994260 bytes
examples/data/prmsl.2009.nc | Bin 0 -> 8974678 bytes
examples/data/prmsl.2010.nc | Bin 0 -> 8970732 bytes
examples/data/prmsl.2011.nc | Bin 0 -> 8976285 bytes
examples/data/rtofs_glo_3dz_f006_6hrly_reg3.nc | Bin 0 -> 30027329 bytes
examples/reading_netCDF.ipynb | 1308 ++
examples/threaded_read.py | 62 +
examples/writing_netCDF.ipynb | 1212 ++
netCDF4.c | 23823 ++++++++++++-----------
netCDF4.egg-info/PKG-INFO | 20 -
netCDF4.egg-info/SOURCES.txt | 94 -
netCDF4.egg-info/dependency_links.txt | 1 -
netCDF4.egg-info/requires.txt | 1 -
netCDF4.egg-info/top_level.txt | 3 -
netCDF4.pxi | 121 +-
netCDF4.pyx | 378 +-
netCDF4_utils.py | 13 +-
netcdftime/__init__.py | 2 +-
netcdftime/_datetime.c | 781 +-
netcdftime/_datetime.pyx | 9 +-
netcdftime/netcdftime.py | 226 +-
setup.cfg | 53 +-
setup.py | 31 +-
test/tst_endian.py | 21 +
test/tst_netcdftime.py | 158 +-
test/tst_slicing.py | 9 +
test/tst_utils.py | 1 +
utils.pyx | 121 +-
69 files changed, 16879 insertions(+), 17953 deletions(-)
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..567609b
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1 @@
+build/
diff --git a/.travis.yml b/.travis.yml
new file mode 100644
index 0000000..232a5a5
--- /dev/null
+++ b/.travis.yml
@@ -0,0 +1,16 @@
+language: python
+python:
+ - "2.7"
+ - "3.3"
+ - "3.4"
+notifications:
+ email: false
+before_install:
+ - sudo apt-get install libhdf5-serial-dev netcdf-bin libnetcdf-dev
+ - pip install numpy cython python-dateutil
+install:
+ - python setup.py build
+ - python setup.py install
+script:
+ - cd test
+ - python run_all.py
diff --git a/Changelog b/Changelog
index ccbb07e..7b087aa 100644
--- a/Changelog
+++ b/Changelog
@@ -1,3 +1,49 @@
+ version 1.1.7 (tag v1.1.7rel)
+ =============================
+ * check to make sure cython >= 0.19 is available before trying
+ to use it (otherwise compilation with fail). Issue 367.
+ * add ipython notebooks from Unidata workshop in examples directory.
+ * fix ellipsis variable slicing regression (issue 371).
+ * release the Global Interpreter Lock (GIL) when calling the C
+ library for read operations. Speeds up multi-threaded reads
+ (issue 369). Caution - the HDF5 library may need to be compiled
+ with the threadsafe option to ensure that global data structures
+ are not corrupted by simultaneous manipulation by different threads.
+ * Make sure USE_NCCONFIG environment variable takes precedence over value
+ of use_ncconfig in setup.cfg. With this change, 'pip install netCDF4'
+ with USE_NCCONFIG=1 will use environment variables to find paths to
+ libraries and include files, instead of relying on nc-config (issue #341).
+
+ version 1.1.6 (tag v1.1.6rel)
+ =============================
+
+ * fix for issue 353 (num2date can no longer handle units like 'hours since
+ 2000-01-01 0').
+ * fix for issue 354 (num2date no longer supports multi-dimensional arrays).
+ * fix for spurious UserWarning about endian-ness mismatch (issue 364).
+ * make calendar name keyword for num2date/date2num case insensitive
+ (issue 362).
+ * make sure units parser returns time-zone naive datetime instance that
+ includes UTC offset (issue 357). UTC offset was applied incorrectly in
+ netcdftime.date2num and num2date. No longer need to depend on
+ python-dateutil.
+
+ version 1.1.5 (tag v1.1.5rel)
+ =============================
+
+ * add dependency on python-dateutil in setup.py and install docs.
+ * use python datetime in num2date and date2num whenever possible. Remove
+ duplicate num2date and date2num functions from netcdftime. Addresses issue
+ #344. Add microsecond capability to netcdftime.datetime. Roundtrip
+ accuracy of num2date/date2num now down to less than a millisecond.
+ * use nc-config by default to find dependencies. setup.py modified to handle failure
+ to find nc-config more gracefully (issue #340). If you wish to use env vars to point
+ to the libs, you must first move the setup.cfg file out of the way
+ (rename it to setup.cfg.save), or set USE_NCCONFIG to 0.
+ * if endian-ness of variable is specified, adjust datatype to reflect this when opening
+ a file (issue 346).
+ * fix for issue #349 (seconds outside the range 0-59 in netcdftime.num2date).
+
version 1.1.4 (tag v1.1.4rel)
=============================
diff --git a/MANIFEST.in b/MANIFEST.in
index fd4193d..954750f 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -5,6 +5,7 @@ include README.md
include README.macosx
include COPYING
include Changelog
+include setup.cfg
include setup.cfg.template
include netCDF4.pyx
include netCDF4_utils.py
@@ -13,6 +14,7 @@ include netCDF4.c
include utils.pyx
include constants.pyx
include examples/*py
+include examples/*ipynb
include test/*py
include utils/nc3tonc4
include utils/nc4tonc3
diff --git a/PKG-INFO b/PKG-INFO
index b878864..088aa9d 100644
--- a/PKG-INFO
+++ b/PKG-INFO
@@ -1,16 +1,13 @@
-Metadata-Version: 1.1
+Metadata-Version: 1.0
Name: netCDF4
-Version: 1.1.4.1
-Summary: Provides an object-oriented python interface to the netCDF version 4 library.
-Home-page: http://github.com/Unidata/netcdf4-python
+Version: 0.5
+Summary: netCDF version 4 has many features not found in earlier versions of the library, such as hierarchical groups, zlib compression, multiple unlimited dimensions, and new data types. It is implemented on top of HDF5. This module implements many of the new features, and can read netCDF files created with older versions of the library. The API is modelled after Scientific.IO.NetCDF, and should be familiar to users of that module
+Home-page: http://www.cdc.noaa.gov/people/jeffrey.s.whitaker/python/netCDF4.html
Author: Jeff Whitaker
Author-email: jeffrey.s.whitaker at noaa.gov
-License: OSI Approved
-Download-URL: http://python.org/pypi/netCDF4
-Description: netCDF version 4 has many features not found in earlier versions of the library, such as hierarchical groups, zlib compression, multiple unlimited dimensions, and new data types. It is implemented on top of HDF5. This module implements most of the new features, and can read and write netCDF files compatible with older versions of the library. The API is modelled after Scientific.IO.NetCDF, and should be familiar to users of that module.
-
- This project has a `Subversion repository <http://code.google.com/p/netcdf4-python/source>`_ where you may access the most up-to-date source.
-Keywords: numpy,netcdf,data,science,network,oceanography,meteorology,climate
+License: ['OSI Approved']
+Download-URL: http://www.cdc.noaa.gov/people/jeffrey.s.whitaker/python/netCDF4-0.4.4.tar.gz
+Description: UNKNOWN
Platform: any
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
diff --git a/README.gh-pages b/README.gh-pages
new file mode 100644
index 0000000..e24650e
--- /dev/null
+++ b/README.gh-pages
@@ -0,0 +1,11 @@
+To update web docs at http://github.unidata.io/netcdf4-python:
+
+(in netcdf4-python github clone directory, after docs directory has been updated)
+
+tar up contents of docs dir (cd docs; tar -cvf ../../html.tar *; cd ..)
+git checkout gh-pages
+tar -xvf ../html.tar
+git add *html
+git commit
+git push origin gh-pages
+git checkout master
diff --git a/README.md b/README.md
index 419e8ec..0349931 100644
--- a/README.md
+++ b/README.md
@@ -1,28 +1,53 @@
-Python/numpy interface to the netCDF version 4 library.
+netcdf4-python
+==============
+
+[python](http://python.org)/[numpy](http://numpy.org) interface to the netCDF [C library](https://github.com/Unidata/netcdf-c).
+
+[](https://travis-ci.org/Unidata/netcdf4-python)
+[](http://python.org/pypi/netCDF4)
News
----
-2/19/2015: Version 1.1.4 released. Fixes serious bug in netcdftime that caused errors in num2date and date2num when units contains "seconds since". Users of 1.1.2 and 1.1.3 should upgrade. For other changes see https://github.com/Unidata/netcdf4-python/blob/master/Changelog.
+For the latest updates, see the [Changelog](https://github.com/Unidata/netcdf4-python/blob/master/Changelog).
+
+3/19/2015: Version 1.1.7 released. Global Interpreter Lock (GIL) now released when extension
+module calls C library for read operations. This speeds up concurrent reads when using threads.
+Users who wish to use netcdf4-python inside threads should read http://www.hdfgroup.org/hdf5-quest.html#gconc
+regarding thread-safety in the HDF5 C library. Fixes to setup.py now ensure that `pip install netCDF4`
+with `export USE_NCCONFIG=1` will use environment variables to find paths to libraries and include files,
+instead of relying exclusively on the nc-config utility.
+
+3/8/2015: Version 1.1.6 released. Minor bug fixes for regressions introduced in 1.1.5,
+including incorrect handling of UTC offsets in units string by date2num/num2date.
+Datetime instances returned by num2date are now time-zone naive, so python-dateutil
+is no longer required.
+
+3/1/2015: Version 1.1.5 released. Significant improvements to netcdftime and
+num2date/date2num - accuracy is now between a millisecond and a microsecond depending
+on the time interval and calendar used. `use_ncconfig=True` is now the default
+in setup.py, so the utility nc-config is used to find the library and
+include file paths.
Quick Start
-----------
* clone github repository, or get source tarball (or Windows binary installers) from
- https://pypi.python.org/pypi/netCDF4.
-
-* make sure numpy (required) and Cython (recommended) are installed and
- you have python 2.5 or newer.
+ [PyPI](https://pypi.python.org/pypi/netCDF4).
-* make sure HDF5 and netcdf-4 are installed.
+* make sure numpy and (required) and Cython (recommended) are
+ installed and you have python 2.5 or newer.
-* copy setup.cfg.template to setup.cfg, open with a text editor
- and follow the instructions in the comments for editing.
+* make sure HDF5 and netcdf-4 are installed, and the nc-config utility
+ is in your Unix PATH. If setup.cfg does not exist, copy setup.cfg.template
+ to setup.cfg, and make sure the line with `use_ncconfig=True` is
+ un-commented.
-* run 'python setup.py build, then 'python setup.py install' (with sudo
+* run `python setup.py build`, then `python setup.py install` (with sudo
if necessary).
-* To run all the tests, execute 'cd test; python run_all.py'.
+* To run all the tests, execute `cd test; python run_all.py`.
+
+See the online [docs](http://unidata.github.io/netcdf4-python) for more details.
-More detailed documentation is available at docs/index.html, or
-http://unidata.github.io/netcdf4-python.
+Sample ipython notebooks available in the examples directory on [reading](http://nbviewer.ipython.org/github/Unidata/netcdf4-python/blob/master/examples/reading_netCDF.ipynb) and [writing](http://nbviewer.ipython.org/github/Unidata/netcdf4-python/blob/master/examples/writing_netCDF.ipynb) netcdf data with python.
diff --git a/checkversion.py b/checkversion.py
new file mode 100644
index 0000000..0d4f4a7
--- /dev/null
+++ b/checkversion.py
@@ -0,0 +1,5 @@
+import netCDF4
+import sys
+sys.stdout.write('netcdf4-python version: %s\n'%netCDF4.__version__)
+sys.stdout.write('HDF5 lib version: %s\n'%netCDF4.__hdf5libversion__)
+sys.stdout.write('netcdf lib version: %s\n'%netCDF4.__netcdf4libversion__)
diff --git a/create_docs.sh b/create_docs.sh
new file mode 100644
index 0000000..9fa1ae1
--- /dev/null
+++ b/create_docs.sh
@@ -0,0 +1,2 @@
+# svn propset svn:mime-type text/html docs/*html
+epydoc -v --no-frames --no-private --introspect-only -o docs netCDF4
diff --git a/docs/api-objects.txt b/docs/api-objects.txt
index c5b8db9..598004f 100644
--- a/docs/api-objects.txt
+++ b/docs/api-objects.txt
@@ -4,12 +4,12 @@ netCDF4.default_encoding netCDF4-module.html#default_encoding
netCDF4.num2date netCDF4-module.html#num2date
netCDF4.is_native_big netCDF4-module.html#is_native_big
netCDF4._private_atts netCDF4-module.html#_private_atts
+netCDF4.MINYEAR netCDF4-module.html#MINYEAR
netCDF4._gethdf5libversion netCDF4-module.html#_gethdf5libversion
netCDF4.__has_nc_inq_format_extended__ netCDF4-module.html#__has_nc_inq_format_extended__
netCDF4.__package__ netCDF4-module.html#__package__
netCDF4.stringtochar netCDF4-module.html#stringtochar
netCDF4.chartostring netCDF4-module.html#chartostring
-netCDF4.date2index netCDF4-module.html#date2index
netCDF4.getlibversion netCDF4-module.html#getlibversion
netCDF4.__netcdf4libversion__ netCDF4-module.html#__netcdf4libversion__
netCDF4.__has_nc_inq_path__ netCDF4-module.html#__has_nc_inq_path__
@@ -17,6 +17,7 @@ netCDF4.date2num netCDF4-module.html#date2num
netCDF4.stringtoarr netCDF4-module.html#stringtoarr
netCDF4._value netCDF4-module.html#_value
netCDF4._nptonctype netCDF4-module.html#_nptonctype
+netCDF4.date2index netCDF4-module.html#date2index
netCDF4.gregorian netCDF4-module.html#gregorian
netCDF4.is_native_little netCDF4-module.html#is_native_little
netCDF4.python3 netCDF4-module.html#python3
@@ -154,7 +155,7 @@ netCDF4.Group._getname netCDF4.Group-class.html#_getname
netCDF4.MFDataset netCDF4.MFDataset-class.html
netCDF4.Dataset._enddef netCDF4.Dataset-class.html#_enddef
netCDF4.Dataset.renameVariable netCDF4.Dataset-class.html#renameVariable
-netCDF4.MFDataset.__str__ netCDF4.MFDataset-class.html#__str__
+netCDF4.Dataset.variables netCDF4.Dataset-class.html#variables
netCDF4.MFDataset.__getattribute__ netCDF4.MFDataset-class.html#__getattribute__
netCDF4.Dataset.sync netCDF4.Dataset-class.html#sync
netCDF4.Dataset.createCompoundType netCDF4.Dataset-class.html#createCompoundType
@@ -176,7 +177,6 @@ netCDF4.Dataset.setncatts netCDF4.Dataset-class.html#setncatts
netCDF4.Dataset.setncattr netCDF4.Dataset-class.html#setncattr
netCDF4.Dataset.set_fill_off netCDF4.Dataset-class.html#set_fill_off
netCDF4.Dataset.renameGroup netCDF4.Dataset-class.html#renameGroup
-netCDF4.Dataset.variables netCDF4.Dataset-class.html#variables
netCDF4.Dataset.vltypes netCDF4.Dataset-class.html#vltypes
netCDF4.MFDataset.ncattrs netCDF4.MFDataset-class.html#ncattrs
netCDF4.Dataset.__exit__ netCDF4.Dataset-class.html#__exit__
@@ -197,7 +197,7 @@ netCDF4.MFDataset.__qualname__ netCDF4.MFDataset-class.html#__qualname__
netCDF4.Dataset.__delattr__ netCDF4.Dataset-class.html#__delattr__
netCDF4.Dataset.set_fill_on netCDF4.Dataset-class.html#set_fill_on
netCDF4.Dataset.data_model netCDF4.Dataset-class.html#data_model
-netCDF4.Dataset.__repr__ netCDF4.Dataset-class.html#__repr__
+netCDF4.MFDataset.__repr__ netCDF4.MFDataset-class.html#__repr__
netCDF4.Dataset.createVLType netCDF4.Dataset-class.html#createVLType
netCDF4.Dataset.createGroup netCDF4.Dataset-class.html#createGroup
netCDF4.Dataset.createDimension netCDF4.Dataset-class.html#createDimension
diff --git a/docs/class-tree.html b/docs/class-tree.html
index 28d86f2..22e7bad 100644
--- a/docs/class-tree.html
+++ b/docs/class-tree.html
@@ -118,7 +118,7 @@
<table border="0" cellpadding="0" cellspacing="0" width="100%%">
<tr>
<td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Fri Dec 5 15:19:52 2014
+ Generated by Epydoc 3.0.1 on Wed Mar 18 10:55:13 2015
</td>
<td align="right" class="footer">
<a target="mainFrame" href="http://epydoc.sourceforge.net"
diff --git a/docs/help.html b/docs/help.html
index f3b828f..7f18c1f 100644
--- a/docs/help.html
+++ b/docs/help.html
@@ -240,7 +240,7 @@ page was last updated. </p>
<table border="0" cellpadding="0" cellspacing="0" width="100%%">
<tr>
<td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Fri Dec 5 15:19:52 2014
+ Generated by Epydoc 3.0.1 on Wed Mar 18 10:55:13 2015
</td>
<td align="right" class="footer">
<a target="mainFrame" href="http://epydoc.sourceforge.net"
diff --git a/docs/identifier-index.html b/docs/identifier-index.html
index cc934a8..3f83b9f 100644
--- a/docs/identifier-index.html
+++ b/docs/identifier-index.html
@@ -271,12 +271,17 @@
<tr>
<td width="33%" class="link-index"><a href="netCDF4.Variable-class.html#mask">mask</a><br />
<span class="index-where">(in <a href="netCDF4.Variable-class.html">Variable</a>)</span></td>
+<td width="33%" class="link-index"><a href="netCDF4.MFTime-class.html">MFTime</a><br />
+<span class="index-where">(in <a href="netCDF4-module.html">netCDF4</a>)</span></td>
+<td width="33%" class="link-index"> </td>
+</tr>
+<tr>
<td width="33%" class="link-index"><a href="netCDF4.MFDataset-class.html">MFDataset</a><br />
<span class="index-where">(in <a href="netCDF4-module.html">netCDF4</a>)</span></td>
-<td width="33%" class="link-index"><a href="netCDF4.MFTime-class.html">MFTime</a><br />
+<td width="33%" class="link-index"><a href="netCDF4-module.html#MINYEAR">MINYEAR</a><br />
<span class="index-where">(in <a href="netCDF4-module.html">netCDF4</a>)</span></td>
+<td width="33%" class="link-index"> </td>
</tr>
-<tr><td class="link-index"> </td><td class="link-index"> </td><td class="link-index"> </td></tr>
</table>
</td></tr>
<tr valign="top"><td valign="top" width="1%"><h2 class="epydoc"><a name="N">N</a></h2></td>
@@ -447,47 +452,47 @@
<span class="index-where">(in <a href="netCDF4.Variable-class.html">Variable</a>)</span></td>
<td width="33%" class="link-index"><a href="netCDF4.Group-class.html#__init__">__init__()</a><br />
<span class="index-where">(in <a href="netCDF4.Group-class.html">Group</a>)</span></td>
-<td width="33%" class="link-index"><a href="netCDF4.VLType-class.html#__repr__">__repr__()</a><br />
-<span class="index-where">(in <a href="netCDF4.VLType-class.html">VLType</a>)</span></td>
+<td width="33%" class="link-index"><a href="netCDF4.MFDataset-class.html#__repr__">__repr__()</a><br />
+<span class="index-where">(in <a href="netCDF4.MFDataset-class.html">MFDataset</a>)</span></td>
</tr>
<tr>
<td width="33%" class="link-index"><a href="netCDF4.Dataset-class.html#__delattr__">__delattr__()</a><br />
<span class="index-where">(in <a href="netCDF4.Dataset-class.html">Dataset</a>)</span></td>
<td width="33%" class="link-index"><a href="netCDF4.MFDataset-class.html#__init__">__init__()</a><br />
<span class="index-where">(in <a href="netCDF4.MFDataset-class.html">MFDataset</a>)</span></td>
-<td width="33%" class="link-index"><a href="netCDF4.Variable-class.html#__repr__">__repr__()</a><br />
-<span class="index-where">(in <a href="netCDF4.Variable-class.html">Variable</a>)</span></td>
+<td width="33%" class="link-index"><a href="netCDF4.VLType-class.html#__repr__">__repr__()</a><br />
+<span class="index-where">(in <a href="netCDF4.VLType-class.html">VLType</a>)</span></td>
</tr>
<tr>
<td width="33%" class="link-index"><a href="netCDF4.Variable-class.html#__delattr__">__delattr__()</a><br />
<span class="index-where">(in <a href="netCDF4.Variable-class.html">Variable</a>)</span></td>
<td width="33%" class="link-index"><a href="netCDF4.MFTime-class.html#__init__">__init__()</a><br />
<span class="index-where">(in <a href="netCDF4.MFTime-class.html">MFTime</a>)</span></td>
-<td width="33%" class="link-index"><a href="netCDF4.Dataset-class.html#__setattr__">__setattr__()</a><br />
-<span class="index-where">(in <a href="netCDF4.Dataset-class.html">Dataset</a>)</span></td>
+<td width="33%" class="link-index"><a href="netCDF4.Variable-class.html#__repr__">__repr__()</a><br />
+<span class="index-where">(in <a href="netCDF4.Variable-class.html">Variable</a>)</span></td>
</tr>
<tr>
<td width="33%" class="link-index"><a href="netCDF4.Variable-class.html#__delitem__">__delitem__()</a><br />
<span class="index-where">(in <a href="netCDF4.Variable-class.html">Variable</a>)</span></td>
<td width="33%" class="link-index"><a href="netCDF4.VLType-class.html#__init__">__init__()</a><br />
<span class="index-where">(in <a href="netCDF4.VLType-class.html">VLType</a>)</span></td>
-<td width="33%" class="link-index"><a href="netCDF4.MFDataset-class.html#__setattr__">__setattr__()</a><br />
-<span class="index-where">(in <a href="netCDF4.MFDataset-class.html">MFDataset</a>)</span></td>
+<td width="33%" class="link-index"><a href="netCDF4.Dataset-class.html#__setattr__">__setattr__()</a><br />
+<span class="index-where">(in <a href="netCDF4.Dataset-class.html">Dataset</a>)</span></td>
</tr>
<tr>
<td width="33%" class="link-index"><a href="netCDF4.Dataset-class.html#__enter__">__enter__()</a><br />
<span class="index-where">(in <a href="netCDF4.Dataset-class.html">Dataset</a>)</span></td>
<td width="33%" class="link-index"><a href="netCDF4.Variable-class.html#__init__">__init__()</a><br />
<span class="index-where">(in <a href="netCDF4.Variable-class.html">Variable</a>)</span></td>
-<td width="33%" class="link-index"><a href="netCDF4.Variable-class.html#__setattr__">__setattr__()</a><br />
-<span class="index-where">(in <a href="netCDF4.Variable-class.html">Variable</a>)</span></td>
+<td width="33%" class="link-index"><a href="netCDF4.MFDataset-class.html#__setattr__">__setattr__()</a><br />
+<span class="index-where">(in <a href="netCDF4.MFDataset-class.html">MFDataset</a>)</span></td>
</tr>
<tr>
<td width="33%" class="link-index"><a href="netCDF4.Dataset-class.html#__exit__">__exit__()</a><br />
<span class="index-where">(in <a href="netCDF4.Dataset-class.html">Dataset</a>)</span></td>
<td width="33%" class="link-index"><a href="netCDF4.Dimension-class.html#__len__">__len__()</a><br />
<span class="index-where">(in <a href="netCDF4.Dimension-class.html">Dimension</a>)</span></td>
-<td width="33%" class="link-index"><a href="netCDF4.Variable-class.html#__setitem__">__setitem__()</a><br />
+<td width="33%" class="link-index"><a href="netCDF4.Variable-class.html#__setattr__">__setattr__()</a><br />
<span class="index-where">(in <a href="netCDF4.Variable-class.html">Variable</a>)</span></td>
</tr>
<tr>
@@ -495,8 +500,8 @@
<span class="index-where">(in <a href="netCDF4.Dataset-class.html">Dataset</a>)</span></td>
<td width="33%" class="link-index"><a href="netCDF4.Variable-class.html#__len__">__len__()</a><br />
<span class="index-where">(in <a href="netCDF4.Variable-class.html">Variable</a>)</span></td>
-<td width="33%" class="link-index"><a href="netCDF4.MFDataset-class.html#__str__">__str__()</a><br />
-<span class="index-where">(in <a href="netCDF4.MFDataset-class.html">MFDataset</a>)</span></td>
+<td width="33%" class="link-index"><a href="netCDF4.Variable-class.html#__setitem__">__setitem__()</a><br />
+<span class="index-where">(in <a href="netCDF4.Variable-class.html">Variable</a>)</span></td>
</tr>
<tr>
<td width="33%" class="link-index"><a href="netCDF4.Variable-class.html#__getattr__">__getattr__()</a><br />
@@ -630,7 +635,7 @@
<table border="0" cellpadding="0" cellspacing="0" width="100%%">
<tr>
<td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Fri Dec 5 15:19:52 2014
+ Generated by Epydoc 3.0.1 on Wed Mar 18 10:55:13 2015
</td>
<td align="right" class="footer">
<a target="mainFrame" href="http://epydoc.sourceforge.net"
diff --git a/docs/index.html b/docs/index.html
index bc76023..2b96e7f 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -91,13 +91,14 @@
(1.5.1 or higher recommended, required if using python 3).
</li>
<li>
- <a href="http://cython.org" target="_top">Cython</a> is optional -
- if it is installed setup.py will use it to recompile the Cython
- source code into C, using conditional compilation to enable
- features in the netCDF API that have been added since version
- 4.1.1. If Cython is not installed, these features (such as the
- ability to rename Group objects) will be disabled to preserve
- backward compatibility with older versions of the netCDF library.
+ <a href="http://cython.org" target="_top">Cython</a>, version 0.19
+ or later, is optional - if it is installed setup.py will use it to
+ recompile the Cython source code into C, using conditional
+ compilation to enable features in the netCDF API that have been
+ added since version 4.1.1. If Cython is not installed, these
+ features (such as the ability to rename Group objects) will be
+ disabled to preserve backward compatibility with older versions of
+ the netCDF library.
</li>
<li>
For python < 2.7, the ordereddict module <a
@@ -143,68 +144,24 @@
It's easiest if all the C libs are built as shared libraries.
</li>
<li>
- optionally, set the <code>HDF5_DIR</code> environment variable to
- point to where HDF5 is installed (the libs in
- <code>$HDF5_DIR/lib</code>, the headers in
- <code>$HDF5_DIR/include</code>). If the headers and libs are
- installed in different places, you can use <code>HDF5_INCDIR</code>
- and <code>HDF5_LIBDIR</code> to define the locations of the headers
- and libraries independently.
+ By default, the utility <code>nc-config</code>, installed with
+ netcdf 4.1.2 or higher, will be run used to determine where all the
+ dependencies live.
</li>
<li>
- optionally, set the <code>NETCDF4_DIR</code> (or
- <code>NETCDF4_INCDIR</code> and <code>NETCDF4_LIBDIR</code>)
- environment variable(s) to point to where the netCDF version 4
- library and headers are installed.
- </li>
- <li>
- If the locations of the HDF5 and netCDF libs and headers are not
- specified with environment variables, some standard locations will
- be searched.
- </li>
- <li>
- if HDF5 was built as a static library with <a
- href="http://www.hdfgroup.org/doc_resource/SZIP/"
- target="_top">szip</a> support, you may also need to set the
- <code>SZIP_DIR</code> (or <code>SZIP_INCDIR</code> and
- <code>SZIP_LIBDIR</code>) environment variable(s) to point to where
- szip is installed. Note that the netCDF library does not support
- creating szip compressed files, but can read szip compressed files
- if the HDF5 lib is configured to support szip.
- </li>
- <li>
- if netCDF lib was built as a static library with HDF4 and/or
- OpenDAP support, you may also need to set <code>HDF4_DIR</code>,
- <code>JPEG_DIR</code> and/or <code>CURL_DIR</code>.
- </li>
- <li>
- Instead of using environment variables to specify the locations of
- the required libraries, you can either let setup.py try to
- auto-detect their locations, or use the file <code>setup.cfg</code>
- to specify them. To use this method, copy the file
- <code>setup.cfg.template</code> to <code>setup.cfg</code>, then
- open <code>setup.cfg</code> in a text editor and follow the
- instructions in the comments for editing. If you use
- <code>setup.cfg</code>, environment variables will be ignored.
- </li>
- <li>
- If you are using netcdf 4.1.2 or higher, instead of setting all
- those enviroment variables defining where libs are installed, you
- can just set one environment variable, USE_NCCONFIG, to 1. This
- will tell python to run the netcdf nc-config utility to determine
- where all the dependencies live.
+ If <code>nc-config</code> is not in your default <code>PATH</code>,
+ rename the file <code>setup.cfg.template</code> to
+ <code>setup.cfg</code>, then edit in a text editor (follow the
+ instructions in the comments). In addition to specifying the path
+ to <code>nc-config</code>, you can manually set the paths to all
+ the libraries and their include files (in case
+ <code>nc-config</code> does not do the right thing).
</li>
<li>
run <code>python setup.py build</code>, then <code>python setup.py
install</code> (as root if necessary).
</li>
<li>
- If using environment variables to specify build options, be sure to
- run 'python setup.py build' *without* using sudo. sudo does not
- pass environment variables. If you run 'setup.py build' first
- without sudo, you can run 'setup.py install' with sudo.
- </li>
- <li>
run the tests in the 'test' directory by running <code>python
run_all.py</code>.
</li>
@@ -947,7 +904,7 @@
PERFORMANCE OF THIS SOFTWARE.
</p>
<p><strong>Version:</strong>
- 1.1.2
+ 1.1.7
</p>
</div><!-- ==================== CLASSES ==================== -->
<a name="section-Classes"></a>
@@ -1180,6 +1137,13 @@
<td width="15%" align="right" valign="top" class="summary">
<span class="summary-type"> </span>
</td><td class="summary">
+ <a name="MINYEAR"></a><span class="summary-name">MINYEAR</span> = <code title="1">1</code>
+ </td>
+ </tr>
+<tr>
+ <td width="15%" align="right" valign="top" class="summary">
+ <span class="summary-type"> </span>
+ </td><td class="summary">
<a name="NC_DISKLESS"></a><span class="summary-name">NC_DISKLESS</span> = <code title="8">8</code>
</td>
</tr>
@@ -1187,28 +1151,28 @@
<td width="15%" align="right" valign="top" class="summary">
<span class="summary-type"> </span>
</td><td class="summary">
- <a name="__has_nc_inq_format_extended__"></a><span class="summary-name">__has_nc_inq_format_extended__</span> = <code title="0">0</code>
+ <a name="__has_nc_inq_format_extended__"></a><span class="summary-name">__has_nc_inq_format_extended__</span> = <code title="1">1</code>
</td>
</tr>
<tr>
<td width="15%" align="right" valign="top" class="summary">
<span class="summary-type"> </span>
</td><td class="summary">
- <a name="__has_nc_inq_path__"></a><span class="summary-name">__has_nc_inq_path__</span> = <code title="0">0</code>
+ <a name="__has_nc_inq_path__"></a><span class="summary-name">__has_nc_inq_path__</span> = <code title="1">1</code>
</td>
</tr>
<tr>
<td width="15%" align="right" valign="top" class="summary">
<span class="summary-type"> </span>
</td><td class="summary">
- <a name="__has_rename_grp__"></a><span class="summary-name">__has_rename_grp__</span> = <code title="0">0</code>
+ <a name="__has_rename_grp__"></a><span class="summary-name">__has_rename_grp__</span> = <code title="1">1</code>
</td>
</tr>
<tr>
<td width="15%" align="right" valign="top" class="summary">
<span class="summary-type"> </span>
</td><td class="summary">
- <a name="__hdf5libversion__"></a><span class="summary-name">__hdf5libversion__</span> = <code title="'1.8.13'"><code class="variable-quote">'</code><code class="variable-string">1.8.13</code><code class="variable-quote">'</code></code>
+ <a name="__hdf5libversion__"></a><span class="summary-name">__hdf5libversion__</span> = <code title="'1.8.14'"><code class="variable-quote">'</code><code class="variable-string">1.8.14</code><code class="variable-quote">'</code></code>
</td>
</tr>
<tr>
@@ -1399,11 +1363,9 @@
time</b></code>' describing the time units. <b><code>time
units</code></b> can be days, hours, minutes, seconds,
milliseconds or microseconds. <b><code>reference time</code></b>
- is the time origin. Milliseconds and microseconds can only be
- used with the proleptic_gregorian calendar, or the standard and
- gregorian calendars if the time origin is after 1582-10-15. A
- valid choice would be units=<code>'milliseconds since 1800-01-01
- 00:00:00-6:00'</code>.</li>
+ is the time origin. Accuracy is somewhere between a millisecond
+ and a microsecond, depending on the time interval and the
+ calendar used.</li>
<li><strong class="pname"><code>calendar</code></strong> - describes the calendar used in the time calculations. All the
values currently defined in the <a
href="http://cf-pcmdi.llnl.gov/documents/cf-conventions/"
@@ -1447,11 +1409,9 @@
time</b></code>' describing the time units. <b><code>time
units</code></b> can be days, hours, minutes, seconds,
milliseconds or microseconds. <b><code>reference time</code></b>
- is the time origin. Milliseconds and microseconds can only be
- used with the proleptic_gregorian calendar, or the standard and
- gregorian calendars if the time origin is after 1582-10-15. A
- valid choice would be units=<code>'milliseconds since 1800-01-01
- 00:00:00-6:00'</code>.</li>
+ is the time origin. Accuracy is somewhere between a millisecond
+ and a microsecond, depending on the time interval and the
+ calendar used.</li>
<li><strong class="pname"><code>calendar</code></strong> - describes the calendar used in the time calculations. All the
values currently defined in the <a
href="http://cf-pcmdi.llnl.gov/documents/cf-conventions/"
@@ -1464,16 +1424,14 @@
<dt>Returns:</dt>
<dd>a datetime instance, or an array of datetime instances.
<p>The datetime instances returned are 'real' python datetime
- objects if the date falls in the Gregorian calendar (i.e.
- <code>calendar='proleptic_gregorian'</code>, or <code>calendar =
- 'standard'</code> or <code>'gregorian'</code> and the date is
- after 1582-10-15). Otherwise, they are 'phony' datetime objects
- which support some but not all the methods of 'real' python
- datetime objects. This is because the python datetime module
- cannot the uses the <code>'proleptic_gregorian'</code> calendar,
- even before the switch occured from the Julian calendar in 1582.
- The datetime instances do not contain a time-zone offset, even if
- the specified <code>units</code> contains one.</p></dd>
+ objects if <code>calendar='proleptic_gregorian'</code>, or
+ <code>calendar = 'standard'</code> or <code>'gregorian'</code>
+ and the date is after the breakpoint between the Julian and
+ Gregorian calendars (1582-10-15). Otherwise, they are 'phony'
+ datetime objects which support some but not all the methods of
+ 'real' python datetime objects. The datetime instances do not
+ contain a time-zone offset, even if the specified
+ <code>units</code> contains one.</p></dd>
</dl>
</td></tr></table>
</div>
@@ -1603,7 +1561,7 @@
<table border="0" cellpadding="0" cellspacing="0" width="100%%">
<tr>
<td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Fri Dec 5 15:19:53 2014
+ Generated by Epydoc 3.0.1 on Wed Mar 18 10:55:13 2015
</td>
<td align="right" class="footer">
<a target="mainFrame" href="http://epydoc.sourceforge.net"
diff --git a/docs/module-tree.html b/docs/module-tree.html
index a7465aa..b26510f 100644
--- a/docs/module-tree.html
+++ b/docs/module-tree.html
@@ -77,7 +77,7 @@
<table border="0" cellpadding="0" cellspacing="0" width="100%%">
<tr>
<td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Fri Dec 5 15:19:52 2014
+ Generated by Epydoc 3.0.1 on Wed Mar 18 10:55:13 2015
</td>
<td align="right" class="footer">
<a target="mainFrame" href="http://epydoc.sourceforge.net"
diff --git a/docs/netCDF3-module.html b/docs/netCDF3-module.html
deleted file mode 100644
index 4830b78..0000000
--- a/docs/netCDF3-module.html
+++ /dev/null
@@ -1,965 +0,0 @@
-<?xml version="1.0" encoding="ascii"?>
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
- "DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
-<head>
- <title>netCDF3</title>
- <link rel="stylesheet" href="epydoc.css" type="text/css" />
- <script type="text/javascript" src="epydoc.js"></script>
-</head>
-
-<body bgcolor="white" text="black" link="blue" vlink="#204080"
- alink="#204080">
-<!-- ==================== NAVIGATION BAR ==================== -->
-<table class="navbar" border="0" width="100%" cellpadding="0"
- bgcolor="#a0c0ff" cellspacing="0">
- <tr valign="middle">
-
- <!-- Tree link -->
- <th> <a
- href="module-tree.html">Trees</a> </th>
-
- <!-- Index link -->
- <th> <a
- href="identifier-index.html">Indices</a> </th>
-
- <!-- Help link -->
- <th> <a
- href="help.html">Help</a> </th>
-
- <th class="navbar" width="100%"></th>
- </tr>
-</table>
-<table width="100%" cellpadding="0" cellspacing="0">
- <tr valign="top">
- <td width="100%">
- <span class="breadcrumbs">
- Module netCDF3
- </span>
- </td>
- <td>
- <table cellpadding="0" cellspacing="0">
- <!-- hide/show private -->
- </table>
- </td>
- </tr>
-</table>
-<!-- ==================== MODULE DESCRIPTION ==================== -->
-<h1 class="epydoc">Module netCDF3</h1><p class="nomargin-top"></p>
-<h1 class="heading">Introduction</h1>
- <p>Python interface to the netCDF version 3 library. The API modelled
- after <a
- href="http://dirac.cnrs-orleans.fr/plone/software/scientificpython/"
- target="_top">Scientific.IO.NetCDF</a>, and should be familiar to users
- of that module. Some new features not found in
- Scientific.IO.NetCDF:</p>
- <ul>
- <li>
- ability to read multi-file netCDF Datasets, making variables
- spanning multiple files appear as if they were in one file (see <a
- href="netCDF3.MFDataset-class.html" class="link">MFDataset</a> for
- more details).
- </li>
- <li>
- support for masked arrays, automatic packing and unpacking of
- packed integer data (see <a
- href="netCDF3.Variable-class.html#set_auto_maskandscale"
- class="link">Variable.set_auto_maskandscale</a> for details).
- </li>
- <li>
- supports more complicated slicing (including numpy 'fancy
- indexing').
- </li>
- <li>
- includes convenience functions for converting to and from datetime
- objects to numeric time values (see <a
- href="netCDF3-module.html#num2date" class="link">num2date</a> and
- <a href="netCDF3-module.html#date2num" class="link">date2num</a>),
- using all the calendars in the CF standard.
- </li>
- <li>
- convenience functions for converting arrays of characters to arrays
- of strings, and vice-versa (<a
- href="netCDF3-module.html#stringtochar"
- class="link">stringtochar</a> and <a
- href="netCDF3-module.html#chartostring"
- class="link">chartostring</a>).
- </li>
- <li>
- can use numpy dtype objects to specify netCDF variable datatype.
- </li>
- </ul>
- <h1 class="heading">Download</h1>
- <ul>
- <li>
- <a href="http://code.google.com/p/netcdf4-python/"
- target="_top">Project page</a>.
- </li>
- <li>
- <a href="http://code.google.com/p/netcdf4-python/source"
- target="_top">Subversion repository</a>.
- </li>
- <li>
- <a href="http://code.google.com/p/netcdf4-python/downloads/list"
- target="_top">Source tar.gz</a>.
- </li>
- </ul>
- <h1 class="heading">Requires</h1>
- <ul>
- <li>
- numpy array module <a href="http://numpy.scipy.org"
- target="_top">http://numpy.scipy.org</a>, version 1.2.1 or later.
- </li>
- <li>
- The netCDF-3 C library (version 3.6 or later), available at <a
- href="ftp://ftp.unidata.ucar.edu/pub/netcdf"
- target="_top">ftp://ftp.unidata.ucar.edu/pub/netcdf</a>.
- </li>
- </ul>
- <h1 class="heading">Install</h1>
- <ul>
- <li>
- install the requisite python modules and C libraries (see above).
- Optionally, set the <code>NETCDF3_DIR</code> environment variable
- to point to where the netCDF version 3 library and headers are
- installed. If <code>NETCDF3_DIR</code> is not set, some standard
- locations will be searched.
- </li>
- <li>
- run 'python setup-nc3.py install'
- </li>
- <li>
- run some of the tests in the 'test3' directory.
- </li>
- </ul>
- <h1 class="heading">Tutorial</h1>
- <h2 class="heading">1) Creating/Opening/Closing a netCDF file</h2>
- <p>To create a netCDF file from python, you simply call the <a
- href="netCDF3.Dataset-class.html" class="link">Dataset</a>
- constructor. This is also the method used to open an existing netCDF
- file. If the file is open for write access (<code>w, r+</code> or
- <code>a</code>), you may write any type of data including new
- dimensions, variables and attributes. netCDF files come in several
- flavors (<code>NETCDF3_CLASSIC, NETCDF3_64BIT,
- NETCDF4_CLASSIC</code>, and <code>NETCDF4</code>). The first two
- flavors are supported by version 3 of the netCDF library, and are
- supported in this module. To read or write <code>NETCDF4</code> and
- <code>NETCDF4_CLASSIC</code> files use the companion <a
- href="netCDF4-module.html" class="link">netCDF4</a> python module.
- The default format <code>NETCDF3_64BIT</code>. To see how a given
- file is formatted, you can examine the <code>file_format</code> <a
- href="netCDF3.Dataset-class.html" class="link">Dataset</a> attribute.
- Closing the netCDF file is accomplished via the <a
- href="netCDF3.Dataset-class.html#close" class="link">close</a> method
- of the <a href="netCDF3.Dataset-class.html" class="link">Dataset</a>
- instance.</p>
- <p>Here's an example:</p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span><span class="py-keyword">import</span> netCDF3
-<span class="py-prompt">>>> </span>ncfile = netCDF3.Dataset(<span class="py-string">'test.nc'</span>, <span class="py-string">'w'</span>)
-<span class="py-prompt">>>> </span><span class="py-keyword">print</span> ncfile.file_format
-<span class="py-output">NETCDF3_64BIT</span>
-<span class="py-output"></span><span class="py-prompt">>>></span>
-<span class="py-prompt">>>> </span>ncfile.close()</pre>
- <h2 class="heading">2) Dimensions in a netCDF file</h2>
- <p>netCDF defines the sizes of all variables in terms of dimensions,
- so before any variables can be created the dimensions they use must
- be created first. A special case, not often used in practice, is that
- of a scalar variable, which has no dimensions. A dimension is created
- using the <a href="netCDF3.Dataset-class.html#createDimension"
- class="link">createDimension</a> method of a <a
- href="netCDF3.Dataset-class.html" class="link">Dataset</a> instance.
- A Python string is used to set the name of the dimension, and an
- integer value is used to set the size. To create an unlimited
- dimension (a dimension that can be appended to), the size value is
- set to <code>None</code> or 0. netCDF 3 files can only have one
- unlimited dimension, and it must be the first (leftmost) dimension of
- the variable.</p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span>ncfile.createDimension(<span class="py-string">'press'</span>, 10)
-<span class="py-prompt">>>> </span>ncfile.createDimension(<span class="py-string">'time'</span>, None)
-<span class="py-prompt">>>> </span>ncfile.createDimension(<span class="py-string">'lat'</span>, 73)
-<span class="py-prompt">>>> </span>ncfile.createDimension(<span class="py-string">'lon'</span>, 144)</pre>
- <p>All of the <a href="netCDF3.Dimension-class.html"
- class="link">Dimension</a> instances are stored in a python
- dictionary.</p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span><span class="py-keyword">print</span> ncfile.dimensions
-<span class="py-output">{'lat': <netCDF3.Dimension object at 0x24a5f7b0>, </span>
-<span class="py-output"> 'time': <netCDF3.Dimension object at 0x24a5f788>, </span>
-<span class="py-output"> 'lon': <netCDF3.Dimension object at 0x24a5f7d8>, </span>
-<span class="py-output"> 'press': <netCDF3.Dimension object at 0x24a5f760>}</span>
-<span class="py-output"></span><span class="py-prompt">>>></span></pre>
- <p>Calling the python <code>len</code> function with a <a
- href="netCDF3.Dimension-class.html" class="link">Dimension</a>
- instance returns the current size of that dimension. The <a
- href="netCDF3.Dimension-class.html#isunlimited"
- class="link">isunlimited</a> method of a <a
- href="netCDF3.Dimension-class.html" class="link">Dimension</a>
- instance can be used to determine if the dimensions is unlimited, or
- appendable.</p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span><span class="py-keyword">for</span> dimname, dimobj <span class="py-keyword">in</span> ncfile.dimensions.iteritems():
-<span class="py-prompt">>>> </span> <span class="py-keyword">print</span> dimname, len(dimobj), dimobj.isunlimited()
-<span class="py-output">lat 73 False</span>
-<span class="py-output">time 0 True</span>
-<span class="py-output">lon 144 False</span>
-<span class="py-output">press 10 False</span>
-<span class="py-output"></span><span class="py-prompt">>>></span></pre>
- <p><a href="netCDF3.Dimension-class.html" class="link">Dimension</a>
- names can be changed using the <a
- href="netCDF3.Dataset-class.html#renameDimension"
- class="link">renameDimension</a> method of a <a
- href="netCDF3.Dataset-class.html" class="link">Dataset</a>
- instance.</p>
- <h2 class="heading">3) Variables in a netCDF file</h2>
- <p>netCDF variables behave much like python multidimensional array
- objects supplied by the <a href="http://numpy.scipy.org"
- target="_top">numpy module</a>. However, unlike numpy arrays, netCDF3
- variables can be appended to along one 'unlimited' dimension. To
- create a netCDF variable, use the <a
- href="netCDF3.Dataset-class.html#createVariable"
- class="link">createVariable</a> method of a <a
- href="netCDF3.Dataset-class.html" class="link">Dataset</a> instance.
- The <a href="netCDF3.Dataset-class.html#createVariable"
- class="link">createVariable</a> method has two mandatory arguments,
- the variable name (a Python string), and the variable datatype. The
- variable's dimensions are given by a tuple containing the dimension
- names (defined previously with <a
- href="netCDF3.Dataset-class.html#createDimension"
- class="link">createDimension</a>). To create a scalar variable,
- simply leave out the dimensions keyword. The variable primitive
- datatypes correspond to the dtype attribute of a numpy array. You can
- specify the datatype as a numpy dtype object, or anything that can be
- converted to a numpy dtype object. Valid datatype specifiers
- include: <code>'f4'</code> (32-bit floating point), <code>'f8'</code>
- (64-bit floating point), <code>'i4'</code> (32-bit signed integer),
- <code>'i2'</code> (16-bit signed integer), <code>'i1'</code> (8-bit
- signed integer), or <code>'S1'</code> (single-character string) The
- old Numeric single-character typecodes
- (<code>'f'</code>,<code>'d'</code>,<code>'h'</code>,
- <code>'s'</code>,<code>'b'</code>,<code>'B'</code>,<code>'c'</code>,<code>'i'</code>,<code>'l'</code>),
- corresponding to
- (<code>'f4'</code>,<code>'f8'</code>,<code>'i2'</code>,<code>'i2'</code>,<code>'i1'</code>,<code>'i1'</code>,<code>'S1'</code>,<code>'i4'</code>,<code>'i4'</code>),
- will also work.</p>
- <p>The dimensions themselves are usually also defined as variables,
- called coordinate variables. The <a
- href="netCDF3.Dataset-class.html#createVariable"
- class="link">createVariable</a> method returns an instance of the <a
- href="netCDF3.Variable-class.html" class="link">Variable</a> class
- whose methods can be used later to access and set variable data and
- attributes.</p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span>times = ncfile.createVariable(<span class="py-string">'time'</span>,<span class="py-string">'f8'</span>,(<span class="py-string">'time'</span>,))
-<span class="py-prompt">>>> </span>pressure = ncfile.createVariable(<span class="py-string">'press'</span>,<span class="py-string">'i4'</span>,(<span class="py-string">'press'</span>,))
-<span class="py-prompt">>>> </span>latitudes = ncfile.createVariable(<span class="py-string">'latitude'</span>,<span class="py-string">'f4'</span>,(<span class="py-string">'lat'</span>,))
-<span class="py-prompt">>>> </span>longitudes = ncfile.createVariable(<span class="py-string">'longitude'</span>,<span class="py-string">'f4'</span>,(<span class="py-string">'lon'</span>,))
-<span class="py-prompt">>>> </span><span class="py-comment"># two dimensions unlimited.</span>
-<span class="py-prompt">>>> </span>temp = ncfile.createVariable(<span class="py-string">'temp'</span>,<span class="py-string">'f4'</span>,(<span class="py-string">'time'</span>,<span class="py-string">'press'</span>,<span class="py-string">'lat'</span>,<span class="py-string">'lon'</span>,))</pre>
- <p>All of the variables in the <a href="netCDF3.Dataset-class.html"
- class="link">Dataset</a> are stored in a Python dictionary, in the
- same way as the dimensions:</p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span><span class="py-keyword">print</span> ncfile.variables
-<span class="py-output">{'temp': <netCDF3.Variable object at 0x24a61068>,</span>
-<span class="py-output"> 'pressure': <netCDF3.Variable object at 0.35f0f80>, </span>
-<span class="py-output"> 'longitude': <netCDF3.Variable object at 0x24a61030>,</span>
-<span class="py-output"> 'pressure': <netCDF3.Variable object at 0x24a610a0>, </span>
-<span class="py-output"> 'time': <netCDF3.Variable object at 02x45f0.4.58>, </span>
-<span class="py-output"> 'latitude': <netCDF3.Variable object at 0.3f0fb8>}</span>
-<span class="py-output"></span><span class="py-prompt">>>></span></pre>
- <p><a href="netCDF3.Variable-class.html" class="link">Variable</a>
- names can be changed using the <a
- href="netCDF3.Dataset-class.html#renameVariable"
- class="link">renameVariable</a> method of a <a
- href="netCDF3.Dataset-class.html" class="link">Dataset</a>
- instance.</p>
- <h2 class="heading">4) Attributes in a netCDF file</h2>
- <p>There are two types of attributes in a netCDF file, global and
- variable. Global attributes provide information about a dataset as a
- whole. <a href="netCDF3.Variable-class.html"
- class="link">Variable</a> attributes provide information about one of
- the variables in a dataset. Global attributes are set by assigning
- values to <a href="netCDF3.Dataset-class.html"
- class="link">Dataset</a> instance variables. <a
- href="netCDF3.Variable-class.html" class="link">Variable</a>
- attributes are set by assigning values to <a
- href="netCDF3.Variable-class.html" class="link">Variable</a> instance
- variables. Attributes can be strings, numbers or sequences. Returning
- to our example,</p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span><span class="py-keyword">import</span> time
-<span class="py-prompt">>>> </span>ncfile.description = <span class="py-string">'bogus example script'</span>
-<span class="py-prompt">>>> </span>ncfile.history = <span class="py-string">'Created '</span> + time.ctime(time.time())
-<span class="py-prompt">>>> </span>ncfile.source = <span class="py-string">'netCDF3 python module tutorial'</span>
-<span class="py-prompt">>>> </span>latitudes.units = <span class="py-string">'degrees north'</span>
-<span class="py-prompt">>>> </span>longitudes.units = <span class="py-string">'degrees east'</span>
-<span class="py-prompt">>>> </span>pressure.units = <span class="py-string">'hPa'</span>
-<span class="py-prompt">>>> </span>temp.units = <span class="py-string">'K'</span>
-<span class="py-prompt">>>> </span>times.units = <span class="py-string">'hours since 0001-01-01 00:00:00.0'</span>
-<span class="py-prompt">>>> </span>times.calendar = <span class="py-string">'gregorian'</span></pre>
- <p>The <a href="netCDF3.Dataset-class.html#ncattrs"
- class="link">ncattrs</a> method of a <a
- href="netCDF3.Dataset-class.html" class="link">Dataset</a> or <a
- href="netCDF3.Variable-class.html" class="link">Variable</a> instance
- can be used to retrieve the names of all the netCDF attributes. This
- method is provided as a convenience, since using the built-in
- <code>dir</code> Python function will return a bunch of private
- methods and attributes that cannot (or should not) be modified by the
- user.</p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span><span class="py-keyword">for</span> name <span class="py-keyword">in</span> ncfile.ncattrs():
-<span class="py-prompt">>>> </span> <span class="py-keyword">print</span> <span class="py-string">'Global attr'</span>, name, <span class="py-string">'='</span>, getattr(ncfile,name)
-<span class="py-output">Global attr description = bogus example script</span>
-<span class="py-output">Global attr history = Created Mon Nov 7 10.30:56 2005</span>
-<span class="py-output">Global attr source = netCDF3 python module tutorial</span></pre>
- <p>The <code>__dict__</code> attribute of a <a
- href="netCDF3.Dataset-class.html" class="link">Dataset</a> or <a
- href="netCDF3.Variable-class.html" class="link">Variable</a> instance
- provides all the netCDF attribute name/value pairs in a python
- dictionary:</p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span><span class="py-keyword">print</span> ncfile.__dict__
-<span class="py-output">{'source': 'netCDF3 python module tutorial',</span>
-<span class="py-output">'description': 'bogus example script',</span>
-<span class="py-output">'history': 'Created Mon Nov 7 10.30:56 2005'}</span></pre>
- <p>Attributes can be deleted from a netCDF <a
- href="netCDF3.Dataset-class.html" class="link">Dataset</a> or <a
- href="netCDF3.Variable-class.html" class="link">Variable</a> using
- the python <code>del</code> statement (i.e. <code>del var.foo</code>
- removes the attribute <code>foo</code> the the variable
- <code>var</code>).</p>
- <h2 class="heading">6) Writing data to and retrieving data from a netCDF variable</h2>
- <p>Now that you have a netCDF <a href="netCDF3.Variable-class.html"
- class="link">Variable</a> instance, how do you put data into it? You
- can just treat it like an array and assign data to a slice.</p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span><span class="py-keyword">import</span> numpy
-<span class="py-prompt">>>> </span>latitudes[:] = numpy.arange(-90,91,2.5)
-<span class="py-prompt">>>> </span>pressure[:] = numpy.arange(1000,90,-100)
-<span class="py-prompt">>>> </span><span class="py-keyword">print</span> <span class="py-string">'latitudes =\n'</span>,latitudes[:]
-<span class="py-output">latitudes =</span>
-<span class="py-output">[-90. -87.5 -85. -82.5 -80. -77.5 -75. -72.5 -70. -67.5 -65. -62.5</span>
-<span class="py-output"> -60. -57.5 -55. -52.5 -50. -47.5 -45. -42.5 -40. -37.5 -35. -32.5</span>
-<span class="py-output"> -30. -27.5 -25. -22.5 -20. -17.5 -15. -12.5 -10. -7.5 -5. -2.5</span>
-<span class="py-output"> 0. 2.5 5. 7.5 10. 12.5 15. 17.5 20. 22.5 25. 27.5</span>
-<span class="py-output"> 30. 32.5 35. 37.5 40. 42.5 45. 47.5 50. 52.5 55. 57.5</span>
-<span class="py-output"> 60. 62.5 65. 67.5 70. 72.5 75. 77.5 80. 82.5 85. 87.5</span>
-<span class="py-output"> 90. ]</span>
-<span class="py-output"></span><span class="py-prompt">>>></span>
-<span class="py-prompt">>>> </span><span class="py-keyword">print</span> <span class="py-string">'pressure levels =\n'</span>,pressure[:]
-<span class="py-output">[1000 900 800 700 600 500 400 300 200 100]</span>
-<span class="py-output"></span><span class="py-prompt">>>></span></pre>
- <p>Unlike numpy array objects, netCDF <a
- href="netCDF3.Variable-class.html" class="link">Variable</a> objects
- with unlimited dimensions will grow along those dimensions if you
- assign data outside the currently defined range of indices.</p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span><span class="py-comment"># append along two unlimited dimensions by assigning to slice.</span>
-<span class="py-prompt">>>> </span>nlats = len(ncfile.dimensions[<span class="py-string">'lat'</span>])
-<span class="py-prompt">>>> </span>nlons = len(ncfile.dimensions[<span class="py-string">'lon'</span>])
-<span class="py-prompt">>>> </span>nlevs = len(ncfile.dimensions[<span class="py-string">'press'</span>])
-<span class="py-prompt">>>> </span><span class="py-keyword">print</span> <span class="py-string">'temp shape before adding data = '</span>,temp.shape
-<span class="py-output">temp shape before adding data = (0, 10, 73, 144)</span>
-<span class="py-output"></span><span class="py-prompt">>>></span>
-<span class="py-prompt">>>> </span><span class="py-keyword">from</span> numpy.random.mtrand <span class="py-keyword">import</span> uniform
-<span class="py-prompt">>>> </span>temp[0:5,:,:,:] = uniform(size=(5,nlevs,nlats,nlons))
-<span class="py-prompt">>>> </span><span class="py-keyword">print</span> <span class="py-string">'temp shape after adding data = '</span>,temp.shape
-<span class="py-output">temp shape after adding data = (5, 16, 73, 144)</span>
-<span class="py-output"></span><span class="py-prompt">>>></span></pre>
- <p>Time coordinate values pose a special challenge to netCDF users.
- Most metadata standards (such as CF and COARDS) specify that time
- should be measure relative to a fixed date using a certain calendar,
- with units specified like <code>hours since YY:MM:DD hh-mm-ss</code>.
- These units can be awkward to deal with, without a utility to convert
- the values to and from calendar dates. The functione called <a
- href="netCDF3-module.html#num2date" class="link">num2date</a> and <a
- href="netCDF3-module.html#date2num" class="link">date2num</a> are
- provided with this package to do just that. Here's an example of how
- they can be used:</p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span><span class="py-comment"># fill in times.</span>
-<span class="py-prompt">>>> </span><span class="py-keyword">from</span> datetime <span class="py-keyword">import</span> datetime, timedelta
-<span class="py-prompt">>>> </span><span class="py-keyword">from</span> netCDF3 <span class="py-keyword">import</span> num2date, date2num
-<span class="py-prompt">>>> </span>dates = [datetime(2001,3,1)+n*timedelta(hours=12) <span class="py-keyword">for</span> n <span class="py-keyword">in</span> range(temp.shape[0])]
-<span class="py-prompt">>>> </span>times[:] = date2num(dates,units=times.units,calendar=times.calendar)
-<span class="py-prompt">>>> </span><span class="py-keyword">print</span> <span class="py-string">'time values (in units %s): '</span> % times.units+<span class="py-string">'\n'</span>,times[:]
-<span class="py-output">time values (in units hours since January 1, 0001): </span>
-<span class="py-output">[ 17533056. 17533068. 17533080. 17533092. 17533104.]</span>
-<span class="py-output"></span><span class="py-prompt">>>></span>
-<span class="py-prompt">>>> </span>dates = num2date(times[:],units=times.units,calendar=times.calendar)
-<span class="py-prompt">>>> </span><span class="py-keyword">print</span> <span class="py-string">'dates corresponding to time values:\n'</span>,dates
-<span class="py-output">dates corresponding to time values:</span>
-<span class="py-output">[2001-03-01 00:00:00 2001-03-01 12:00:00 2001-03-02 00:00:00</span>
-<span class="py-output"> 2001-03-02 12:00:00 2001-03-03 00:00:00]</span>
-<span class="py-output"></span><span class="py-prompt">>>></span></pre>
- <p><a href="netCDF3-module.html#num2date" class="link">num2date</a>
- converts numeric values of time in the specified <code>units</code>
- and <code>calendar</code> to datetime objects, and <a
- href="netCDF3-module.html#date2num" class="link">date2num</a> does
- the reverse. All the calendars currently defined in the <a
- href="http://cf-pcmdi.llnl.gov/documents/cf-conventions/"
- target="_top">CF metadata convention</a> are supported. A function
- called <a href="netCDF3-module.html#date2index"
- class="link">date2index</a> is also provided which returns the
- indices of a netCDF time variable corresponding to a sequence of
- datetime instances.</p>
- <p>All of the code in this tutorial is available in
- <code>examples/tutorial-nc3.py</code>, Unit tests are in the
- <code>test3</code> directory.</p>
- <h2 class="heading">7) Reading data from a multi-file netCDF dataset.</h2>
- <p>If you want to read data from a variable that spans multiple
- netCDF files, you can use the <a href="netCDF3.MFDataset-class.html"
- class="link">MFDataset</a> class to read the data as if it were
- contained in a single file. Instead of using a single filename to
- create a <a href="netCDF3.Dataset-class.html"
- class="link">Dataset</a> instance, create a <a
- href="netCDF3.MFDataset-class.html" class="link">MFDataset</a>
- instance with either a list of filenames, or a string with a wildcard
- (which is then converted to a sorted list of files using the python
- glob module). Variables in the list of files that share the same
- unlimited dimension are aggregated together, and can be sliced across
- multiple files. To illustrate this, let's first create a bunch of
- netCDF files with the same variable (with the same unlimited
- dimension).</p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span><span class="py-keyword">for</span> nfile <span class="py-keyword">in</span> range(10):
-<span class="py-prompt">>>> </span> f = Dataset(<span class="py-string">'mftest'</span>+repr(nfile)+<span class="py-string">'.nc'</span>,<span class="py-string">'w'</span>)
-<span class="py-prompt">>>> </span> f.createDimension(<span class="py-string">'x'</span>,None)
-<span class="py-prompt">>>> </span> x = f.createVariable(<span class="py-string">'x'</span>,<span class="py-string">'i'</span>,(<span class="py-string">'x'</span>,))
-<span class="py-prompt">>>> </span> x[0:10] = numpy.arange(nfile*10,10*(nfile+1))
-<span class="py-prompt">>>> </span> f.close()</pre>
- <p>Now read all the files back in at once with <a
- href="netCDF3.MFDataset-class.html" class="link">MFDataset</a></p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span>f = MFDataset(<span class="py-string">'mftest*nc'</span>)
-<span class="py-prompt">>>> </span><span class="py-keyword">print</span> f.variables[<span class="py-string">'x'</span>][:]
-<span class="py-output">[ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24</span>
-<span class="py-output"> 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49</span>
-<span class="py-output"> 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74</span>
-<span class="py-output"> 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99]</span>
-<span class="py-output"></span><span class="py-prompt">>>></span></pre>
- <p>Note that MFDataset can only be used to read, not write,
- multi-file datasets.</p>
-
-<hr />
-<div class="fields"> <p><strong>Contact:</strong>
- Jeffrey Whitaker <jeffrey.s.whitaker at noaa.gov>
- </p>
- <p><strong>Copyright:</strong>
- 2008 by Jeffrey Whitaker.
- </p>
- <p><strong>License:</strong>
- Permission to use, copy, modify, and distribute this software and
- its documentation for any purpose and without fee is hereby
- granted, provided that the above copyright notice appear in all
- copies and that both the copyright notice and this permission
- notice appear in supporting documentation. THE AUTHOR DISCLAIMS ALL
- WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING ALL IMPLIED
- WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE
- AUTHOR BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES
- OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR
- PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER
- TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
- PERFORMANCE OF THIS SOFTWARE.
- </p>
- <p><strong>Version:</strong>
- 0.9.2
- </p>
-</div><!-- ==================== CLASSES ==================== -->
-<a name="section-Classes"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Classes</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a href="netCDF3.Dataset-class.html" class="summary-name">Dataset</a><br />
- Dataset(self, filename, mode="r", clobber=True,
- format='NETCDF3_64BIT')
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a href="netCDF3.Dimension-class.html" class="summary-name">Dimension</a><br />
- Dimension(self, dset, name, size=None)
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a href="netCDF3.MFDataset-class.html" class="summary-name">MFDataset</a><br />
- MFDataset(self, files, check=False, exclude=[])
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a href="netCDF3.Variable-class.html" class="summary-name">Variable</a><br />
- Variable(self, dset, name, datatype, dimensions=(),
- fill_value=None)
- </td>
- </tr>
-</table>
-<!-- ==================== FUNCTIONS ==================== -->
-<a name="section-Functions"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Functions</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3-module.html#chartostring" class="summary-sig-name">chartostring</a>(<span class="summary-sig-arg">b</span>)</span><br />
- convert a character array to a string array with one less dimension.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3-module.html#date2index" class="summary-sig-name">date2index</a>(<span class="summary-sig-arg">dates</span>,
- <span class="summary-sig-arg">nctime</span>,
- <span class="summary-sig-arg">calendar</span>=<span class="summary-sig-default">None</span>,
- <span class="summary-sig-arg">select</span>=<span class="summary-sig-default">'exact'</span>)</span><br />
- Return indices of a netCDF time variable corresponding to the given
- dates.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3-module.html#date2num" class="summary-sig-name">date2num</a>(<span class="summary-sig-arg">dates</span>,
- <span class="summary-sig-arg">units</span>,
- <span class="summary-sig-arg">calendar</span>=<span class="summary-sig-default">'standard'</span>)</span><br />
- Return numeric time values given datetime objects.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="getlibversion"></a><span class="summary-sig-name">getlibversion</span>()</span><br />
- returns a string describing the version of the netcdf library used to
- build the module, and when it was built.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3-module.html#num2date" class="summary-sig-name">num2date</a>(<span class="summary-sig-arg">times</span>,
- <span class="summary-sig-arg">units</span>,
- <span class="summary-sig-arg">calendar</span>=<span class="summary-sig-default">'standard'</span>)</span><br />
- Return datetime objects given numeric time values.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3-module.html#stringtoarr" class="summary-sig-name">stringtoarr</a>(<span class="summary-sig-arg">a</span>,
- <span class="summary-sig-arg">NUMCHARS</span>)</span><br />
- convert a string to a character array of length NUMCHARS</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3-module.html#stringtochar" class="summary-sig-name">stringtochar</a>(<span class="summary-sig-arg">a</span>)</span><br />
- convert a string array to a character array with one extra dimension</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-</table>
-<!-- ==================== VARIABLES ==================== -->
-<a name="section-Variables"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Variables</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a name="__package__"></a><span class="summary-name">__package__</span> = <code title="None">None</code>
- </td>
- </tr>
-</table>
-<!-- ==================== FUNCTION DETAILS ==================== -->
-<a name="section-FunctionDetails"></a>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Function Details</span></td>
-</tr>
-</table>
-<a name="chartostring"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">chartostring</span>(<span class="sig-arg">b</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>convert a character array to a string array with one less
- dimension.</p>
- <dl class="fields">
- <dt>Parameters:</dt>
- <dd><ul class="nomargin-top">
- <li><strong class="pname"><code>b</code></strong> - Input character array (numpy datatype 'S1'). Will be converted to
- a array of strings, where each string has a fixed length of
- b.shape[-1] characters.</li>
- </ul></dd>
- <dt>Returns:</dt>
- <dd>A numpy string array with datatype 'SN' and shape b.shape[:-1],
- where N=b.shape[-1].</dd>
- </dl>
-</td></tr></table>
-</div>
-<a name="date2index"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">date2index</span>(<span class="sig-arg">dates</span>,
- <span class="sig-arg">nctime</span>,
- <span class="sig-arg">calendar</span>=<span class="sig-default">None</span>,
- <span class="sig-arg">select</span>=<span class="sig-default">'exact'</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>Return indices of a netCDF time variable corresponding to the given
- dates.</p>
- <dl class="fields">
- <dt>Parameters:</dt>
- <dd><ul class="nomargin-top">
- <li><strong class="pname"><code>dates</code></strong> - A datetime object or a sequence of datetime objects. The datetime
- objects should not include a time-zone offset.</li>
- <li><strong class="pname"><code>nctime</code></strong> - A netCDF time variable object. The nctime object must have a
- <code>units</code> attribute.</li>
- <li><strong class="pname"><code>calendar</code></strong> - Describes the calendar used in the time calculation. Valid
- calendars <code>'standard', 'gregorian', 'proleptic_gregorian'
- 'noleap', '365_day', '360_day', 'julian', 'all_leap',
- '366_day'</code>. Default is <code>'standard'</code>, which is a
- mixed Julian/Gregorian calendar If <code>calendar</code> is None,
- its value is given by <code>nctime.calendar</code> or
- <code>standard</code> if no such attribute exists.</li>
- <li><strong class="pname"><code>select</code></strong> - <code>'exact', 'before', 'after', 'nearest'</code> The index
- selection method. <code>exact</code> will return the indices
- perfectly matching the dates given. <code>before</code> and
- <code>after</code> will return the indices corresponding to the
- dates just before or just after the given dates if an exact match
- cannot be found. <code>nearest</code> will return the indices
- that correspond to the closest dates.</li>
- </ul></dd>
- <dt>Returns:</dt>
- <dd>an index (indices) of the netCDF time variable corresponding to
- the given datetime object(s).</dd>
- </dl>
-</td></tr></table>
-</div>
-<a name="date2num"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">date2num</span>(<span class="sig-arg">dates</span>,
- <span class="sig-arg">units</span>,
- <span class="sig-arg">calendar</span>=<span class="sig-default">'standard'</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>Return numeric time values given datetime objects. The units of the
- numeric time values are described by the <code class="link">units</code>
- argument and the <code class="link">calendar</code> keyword. The datetime
- objects must be in UTC with no time-zone offset. If there is a time-zone
- offset in <code>units</code>, it will be applied to the returned numeric
- values.</p>
- <p>Like the matplotlib <code>date2num</code> function, except that it
- allows for different units and calendars. Behaves the same if
- <code>units = 'days since 0001-01-01 00:00:00'</code> and <code>calendar
- = 'proleptic_gregorian'</code>.</p>
- <dl class="fields">
- <dt>Parameters:</dt>
- <dd><ul class="nomargin-top">
- <li><strong class="pname"><code>dates</code></strong> - A datetime object or a sequence of datetime objects. The datetime
- objects should not include a time-zone offset.</li>
- <li><strong class="pname"><code>units</code></strong> - a string of the form <code>'<b>time units</b> since <b>reference
- time</b></code>' describing the time units. <b><code>time
- units</code></b> can be days, hours, minutes or seconds.
- <b><code>reference time</code></b> is the time origin. A valid
- choice would be units=<code>'hours since 1800-01-01 00:00:00
- -6:00'</code>.</li>
- <li><strong class="pname"><code>calendar</code></strong> - describes the calendar used in the time calculations. All the
- values currently defined in the <a
- href="http://cf-pcmdi.llnl.gov/documents/cf-conventions/"
- target="_top">CF metadata convention</a> are supported. Valid
- calendars <code>'standard', 'gregorian', 'proleptic_gregorian'
- 'noleap', '365_day', '360_day', 'julian', 'all_leap',
- '366_day'</code>. Default is <code>'standard'</code>, which is a
- mixed Julian/Gregorian calendar.</li>
- </ul></dd>
- <dt>Returns:</dt>
- <dd>a numeric time value, or an array of numeric time values.
- <p>The maximum resolution of the numeric time values is 1
- second.</p></dd>
- </dl>
-</td></tr></table>
-</div>
-<a name="num2date"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">num2date</span>(<span class="sig-arg">times</span>,
- <span class="sig-arg">units</span>,
- <span class="sig-arg">calendar</span>=<span class="sig-default">'standard'</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>Return datetime objects given numeric time values. The units of the
- numeric time values are described by the <code>units</code> argument and
- the <code>calendar</code> keyword. The returned datetime objects
- represent UTC with no time-zone offset, even if the specified
- <code>units</code> contain a time-zone offset.</p>
- <p>Like the matplotlib <code>num2date</code> function, except that it
- allows for different units and calendars. Behaves the same if
- <code>units = 'days since 001-01-01 00:00:00'</code> and <code>calendar =
- 'proleptic_gregorian'</code>.</p>
- <dl class="fields">
- <dt>Parameters:</dt>
- <dd><ul class="nomargin-top">
- <li><strong class="pname"><code>times</code></strong> - numeric time values. Maximum resolution is 1 second.</li>
- <li><strong class="pname"><code>units</code></strong> - a string of the form <code>'<b>time units</b> since <b>reference
- time</b></code>' describing the time units. <b><code>time
- units</code></b> can be days, hours, minutes or seconds.
- <b><code>reference time</code></b> is the time origin. A valid
- choice would be units=<code>'hours since 1800-01-01 00:00:00
- -6:00'</code>.</li>
- <li><strong class="pname"><code>calendar</code></strong> - describes the calendar used in the time calculations. All the
- values currently defined in the <a
- href="http://cf-pcmdi.llnl.gov/documents/cf-conventions/"
- target="_top">CF metadata convention</a> are supported. Valid
- calendars <code>'standard', 'gregorian', 'proleptic_gregorian'
- 'noleap', '365_day', '360_day', 'julian', 'all_leap',
- '366_day'</code>. Default is <code>'standard'</code>, which is a
- mixed Julian/Gregorian calendar.</li>
- </ul></dd>
- <dt>Returns:</dt>
- <dd>a datetime instance, or an array of datetime instances.
- <p>The datetime instances returned are 'real' python datetime
- objects if the date falls in the Gregorian calendar (i.e.
- <code>calendar='proleptic_gregorian'</code>, or <code>calendar =
- 'standard'</code> or <code>'gregorian'</code> and the date is
- after 1582-10-15). Otherwise, they are 'phony' datetime objects
- which support some but not all the methods of 'real' python
- datetime objects. This is because the python datetime module
- cannot the uses the <code>'proleptic_gregorian'</code> calendar,
- even before the switch occured from the Julian calendar in 1582.
- The datetime instances do not contain a time-zone offset, even if
- the specified <code>units</code> contains one.</p></dd>
- </dl>
-</td></tr></table>
-</div>
-<a name="stringtoarr"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">stringtoarr</span>(<span class="sig-arg">a</span>,
- <span class="sig-arg">NUMCHARS</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>convert a string to a character array of length NUMCHARS</p>
- <dl class="fields">
- <dt>Parameters:</dt>
- <dd><ul class="nomargin-top">
- <li><strong class="pname"><code>a</code></strong> - Input python string.</li>
- <li><strong class="pname"><code>NUMCHARS</code></strong> - number of characters used to represent string (if len(a) <
- NUMCHARS, it will be padded on the right with blanks).</li>
- </ul></dd>
- <dt>Returns:</dt>
- <dd>A rank 1 numpy character array of length NUMCHARS with datatype
- 'S1'</dd>
- </dl>
-</td></tr></table>
-</div>
-<a name="stringtochar"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">stringtochar</span>(<span class="sig-arg">a</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>convert a string array to a character array with one extra
- dimension</p>
- <dl class="fields">
- <dt>Parameters:</dt>
- <dd><ul class="nomargin-top">
- <li><strong class="pname"><code>a</code></strong> - Input numpy string array with numpy datatype 'SN', where N is the
- number of characters in each string. Will be converted to an
- array of characters (datatype 'S1') of shape a.shape + (N,).</li>
- </ul></dd>
- <dt>Returns:</dt>
- <dd>A numpy character array with datatype 'S1' and shape a.shape +
- (N,), where N is the length of each string in a.</dd>
- </dl>
-</td></tr></table>
-</div>
-<br />
-<!-- ==================== NAVIGATION BAR ==================== -->
-<table class="navbar" border="0" width="100%" cellpadding="0"
- bgcolor="#a0c0ff" cellspacing="0">
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diff --git a/docs/netCDF3.Dataset-class.html b/docs/netCDF3.Dataset-class.html
deleted file mode 100644
index 3e51472..0000000
--- a/docs/netCDF3.Dataset-class.html
+++ /dev/null
@@ -1,919 +0,0 @@
-<?xml version="1.0" encoding="ascii"?>
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
- "DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
-<head>
- <title>netCDF3.Dataset</title>
- <link rel="stylesheet" href="epydoc.css" type="text/css" />
- <script type="text/javascript" src="epydoc.js"></script>
-</head>
-
-<body bgcolor="white" text="black" link="blue" vlink="#204080"
- alink="#204080">
-<!-- ==================== NAVIGATION BAR ==================== -->
-<table class="navbar" border="0" width="100%" cellpadding="0"
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- href="help.html">Help</a> </th>
-
- <th class="navbar" width="100%"></th>
- </tr>
-</table>
-<table width="100%" cellpadding="0" cellspacing="0">
- <tr valign="top">
- <td width="100%">
- <span class="breadcrumbs">
- <a href="netCDF3-module.html">Module netCDF3</a> ::
- Class Dataset
- </span>
- </td>
- <td>
- <table cellpadding="0" cellspacing="0">
- <!-- hide/show private -->
- </table>
- </td>
- </tr>
-</table>
-<!-- ==================== CLASS DESCRIPTION ==================== -->
-<h1 class="epydoc">Class Dataset</h1><p class="nomargin-top"></p>
-<pre class="base-tree">
-object --+
- |
- <strong class="uidshort">Dataset</strong>
-</pre>
-
-<dl><dt>Known Subclasses:</dt>
-<dd>
- <ul class="subclass-list">
-<li><a href="netCDF3.MFDataset-class.html">MFDataset</a></li> </ul>
-</dd></dl>
-
-<hr />
-<p>Dataset(self, filename, mode="r", clobber=True,
- format='NETCDF3_64BIT')</p>
- <p>A netCDF <a href="netCDF3.Dataset-class.html" class="link">Dataset</a>
- is a collection of dimensions, variables and attributes. Together they
- describe the meaning of data and relations among data fields stored in a
- netCDF file.</p>
- <p><b>Parameters:</b></p>
- <p><b><code>filename</code></b> - Name of netCDF file to hold
- dataset.</p>
- <p><b>Keywords</b>:</p>
- <p><b><code>mode</code></b> - access mode. <code>r</code> means
- read-only; no data can be modified. <code>w</code> means write; a new
- file is created, an existing file with the same name is deleted.
- <code>a</code> and <code>r+</code> mean append (in analogy with serial
- files); an existing file is opened for reading and writing. Appending
- <code>s</code> to modes <code>w</code>, <code>r+</code> or <code>a</code>
- will enable unbuffered shared access. Unbuffered acesss may be useful
- even if you don't need shared access, since it may be faster for programs
- that don't access data sequentially.</p>
- <p><b><code>clobber</code></b> - if <code>True</code> (default), opening
- a file with <code>mode='w'</code> will clobber an existing file with the
- same name. if <code>False</code>, an exception will be raised if a file
- with the same name already exists.</p>
- <p><b><code>format</code></b> - underlying file format (either
- <code>'NETCDF3_64BIT'</code> or <code>'NETCDF3_CLASSIC'</code>. Only
- relevant if <code>mode = 'w'</code> (if <code>mode = 'r','a'</code> or
- <code>'r+'</code> the file format is automatically detected). Default
- <code>'NETCDF3_64BIT'</code> (the 64-bit offset version of the netCDF 3
- file format, which fully supports 2+ GB files)).
- <code>'NETCDF3_CLASSIC'</code> is the classic netCDF 3 file format that
- does not handle 2+ Gb files very well.</p>
- <p><b>Returns:</b></p>
- <p>a <a href="netCDF3.Dataset-class.html" class="link">Dataset</a>
- instance. All further operations on the netCDF Dataset are accomplised
- via <a href="netCDF3.Dataset-class.html" class="link">Dataset</a>
- instance methods.</p>
- <p>A list of attribute names corresponding to global netCDF attributes
- defined for the <a href="netCDF3.Dataset-class.html"
- class="link">Dataset</a> can be obtained with the <a
- href="netCDF3.Dataset-class.html#ncattrs" class="link">ncattrs()</a>
- method. These attributes can be created by assigning to an attribute of
- the <a href="netCDF3.Dataset-class.html" class="link">Dataset</a>
- instance. A dictionary containing all the netCDF attribute name/value
- pairs is provided by the <code>__dict__</code> attribute of a <a
- href="netCDF3.Dataset-class.html" class="link">Dataset</a> instance.</p>
- <p>The instance variables <code>dimensions, variables, file_format</code>
- and <code>path</code> are read-only (and should not be modified by the
- user).</p>
-
-<!-- ==================== INSTANCE METHODS ==================== -->
-<a name="section-InstanceMethods"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Instance Methods</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Dataset-class.html#__delattr__" class="summary-sig-name">__delattr__</a>(<span class="summary-sig-arg">...</span>)</span><br />
- x.__delattr__('name') <==> del x.name</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="__getattr__"></a><span class="summary-sig-name">__getattr__</span>(<span class="summary-sig-arg">...</span>)</span></td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Dataset-class.html#__getattribute__" class="summary-sig-name">__getattribute__</a>(<span class="summary-sig-arg">...</span>)</span><br />
- x.__getattribute__('name') <==> x.name</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Dataset-class.html#__init__" class="summary-sig-name">__init__</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">filename</span>,
- <span class="summary-sig-arg">mode</span>=<span class="summary-sig-default">"r"</span>,
- <span class="summary-sig-arg">clobber</span>=<span class="summary-sig-default">True</span>,
- <span class="summary-sig-arg">format</span>=<span class="summary-sig-default">'NETCDF3_64BIT'</span>)</span><br />
- x.__init__(...) initializes x; see x.__class__.__doc__ for signature</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type">a new object with type S, a subtype of T</span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Dataset-class.html#__new__" class="summary-sig-name">__new__</a>(<span class="summary-sig-arg">T</span>,
- <span class="summary-sig-arg">S</span>,
- <span class="summary-sig-arg">...</span>)</span></td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Dataset-class.html#__setattr__" class="summary-sig-name">__setattr__</a>(<span class="summary-sig-arg">...</span>)</span><br />
- x.__setattr__('name', value) <==> x.name = value</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="close"></a><span class="summary-sig-name">close</span>(<span class="summary-sig-arg">self</span>)</span><br />
- Close the Dataset.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Dataset-class.html#createDimension" class="summary-sig-name">createDimension</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">dimname</span>,
- <span class="summary-sig-arg">size</span>=<span class="summary-sig-default">None</span>)</span><br />
- Creates a new dimension with the given <code>dimname</code> and
- <code>size</code>.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Dataset-class.html#createVariable" class="summary-sig-name">createVariable</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">varname</span>,
- <span class="summary-sig-arg">datatype</span>,
- <span class="summary-sig-arg">dimensions</span>=<span class="summary-sig-default">()</span>,
- <span class="summary-sig-arg">fill_value</span>=<span class="summary-sig-default">None</span>)</span><br />
- Creates a new variable with the given <code>varname</code>,
- <code>datatype</code>, and <code>dimensions</code>.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Dataset-class.html#delncattr" class="summary-sig-name">delncattr</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">name</span>,
- <span class="summary-sig-arg">value</span>)</span><br />
- delete a netCDF dataset or group attribute.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Dataset-class.html#getncattr" class="summary-sig-name">getncattr</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">name</span>)</span><br />
- retrievel a netCDF dataset attribute.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="ncattrs"></a><span class="summary-sig-name">ncattrs</span>(<span class="summary-sig-arg">self</span>)</span><br />
- return netCDF global attribute names for this <a
- href="netCDF3.Dataset-class.html" class="link">Dataset</a> in a list.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="renameDimension"></a><span class="summary-sig-name">renameDimension</span>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">oldname</span>,
- <span class="summary-sig-arg">newname</span>)</span><br />
- rename a <a href="netCDF3.Dimension-class.html"
- class="link">Dimension</a> named <code>oldname</code> to
- <code>newname</code>.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="renameVariable"></a><span class="summary-sig-name">renameVariable</span>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">oldname</span>,
- <span class="summary-sig-arg">newname</span>)</span><br />
- rename a <a href="netCDF3.Variable-class.html"
- class="link">Variable</a> named <code>oldname</code> to
- <code>newname</code></td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Dataset-class.html#set_fill_off" class="summary-sig-name">set_fill_off</a>(<span class="summary-sig-arg">self</span>)</span><br />
- Sets the fill mode for a <a href="netCDF3.Dataset-class.html"
- class="link">Dataset</a> open for writing to <code>off</code>.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Dataset-class.html#set_fill_on" class="summary-sig-name">set_fill_on</a>(<span class="summary-sig-arg">self</span>)</span><br />
- Sets the fill mode for a <a href="netCDF3.Dataset-class.html"
- class="link">Dataset</a> open for writing to <code>on</code>.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Dataset-class.html#setncattr" class="summary-sig-name">setncattr</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">name</span>,
- <span class="summary-sig-arg">value</span>)</span><br />
- set a netCDF dataset attribute using name,value pair.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="sync"></a><span class="summary-sig-name">sync</span>(<span class="summary-sig-arg">self</span>)</span><br />
- Writes all buffered data in the <a href="netCDF3.Dataset-class.html"
- class="link">Dataset</a> to the disk file.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
- <tr>
- <td colspan="2" class="summary">
- <p class="indent-wrapped-lines"><b>Inherited from <code>object</code></b>:
- <code>__format__</code>,
- <code>__hash__</code>,
- <code>__reduce__</code>,
- <code>__reduce_ex__</code>,
- <code>__repr__</code>,
- <code>__sizeof__</code>,
- <code>__str__</code>,
- <code>__subclasshook__</code>
- </p>
- </td>
- </tr>
-</table>
-<!-- ==================== INSTANCE VARIABLES ==================== -->
-<a name="section-InstanceVariables"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Instance Variables</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a name="dimensions"></a><span class="summary-name">dimensions</span><br />
- The <code>dimensions</code> dictionary maps the names of dimensions
- defined for the <a href="netCDF3.Dataset-class.html"
- class="link">Dataset</a> to instances of the <a
- href="netCDF3.Dimension-class.html" class="link">Dimension</a> class.
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a name="file_format"></a><span class="summary-name">file_format</span><br />
- The <code>file_format</code> attribute describes the netCDF file
- format version, either <code>NETCDF3_CLASSIC</code> or or
- <code>NETCDF3_64BIT</code>.
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a name="variables"></a><span class="summary-name">variables</span><br />
- The <code>variables</code> dictionary maps the names of variables
- defined for this <a href="netCDF3.Dataset-class.html"
- class="link">Dataset</a> to instances of the <a
- href="netCDF3.Variable-class.html" class="link">Variable</a> class.
- </td>
- </tr>
-</table>
-<!-- ==================== PROPERTIES ==================== -->
-<a name="section-Properties"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Properties</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a name="maskanscale"></a><span class="summary-name">maskanscale</span>
- </td>
- </tr>
- <tr>
- <td colspan="2" class="summary">
- <p class="indent-wrapped-lines"><b>Inherited from <code>object</code></b>:
- <code>__class__</code>
- </p>
- </td>
- </tr>
-</table>
-<!-- ==================== METHOD DETAILS ==================== -->
-<a name="section-MethodDetails"></a>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Method Details</span></td>
-</tr>
-</table>
-<a name="__delattr__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__delattr__</span>(<span class="sig-arg">...</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>x.__delattr__('name') <==> del x.name</p>
- <dl class="fields">
- <dt>Overrides:
- object.__delattr__
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<a name="__getattribute__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__getattribute__</span>(<span class="sig-arg">...</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>x.__getattribute__('name') <==> x.name</p>
- <dl class="fields">
- <dt>Overrides:
- object.__getattribute__
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<a name="__init__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__init__</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">filename</span>,
- <span class="sig-arg">mode</span>=<span class="sig-default">"r"</span>,
- <span class="sig-arg">clobber</span>=<span class="sig-default">True</span>,
- <span class="sig-arg">format</span>=<span class="sig-default">'NETCDF3_64BIT'</span>)</span>
- <br /><em class="fname">(Constructor)</em>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>x.__init__(...) initializes x; see x.__class__.__doc__ for
- signature</p>
- <dl class="fields">
- <dt>Overrides:
- object.__init__
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<a name="__new__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__new__</span>(<span class="sig-arg">T</span>,
- <span class="sig-arg">S</span>,
- <span class="sig-arg">...</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
-
- <dl class="fields">
- <dt>Returns: a new object with type S, a subtype of T</dt>
- <dt>Overrides:
- object.__new__
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<a name="__setattr__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__setattr__</span>(<span class="sig-arg">...</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>x.__setattr__('name', value) <==> x.name = value</p>
- <dl class="fields">
- <dt>Overrides:
- object.__setattr__
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<a name="createDimension"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">createDimension</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">dimname</span>,
- <span class="sig-arg">size</span>=<span class="sig-default">None</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>Creates a new dimension with the given <code>dimname</code> and
- <code>size</code>.</p>
- <p><code>size</code> must be a positive integer or <code>None</code>,
- which stands for "unlimited" (default is <code>None</code>).
- Specifying a size of 0 also results in an unlimited dimension. The return
- value is the <a href="netCDF3.Dimension-class.html"
- class="link">Dimension</a> class instance describing the new dimension.
- To determine the current maximum size of the dimension, use the
- <code>len</code> function on the <a href="netCDF3.Dimension-class.html"
- class="link">Dimension</a> instance. To determine if a dimension is
- 'unlimited', use the <code>isunlimited()</code> method of the <a
- href="netCDF3.Dimension-class.html" class="link">Dimension</a>
- instance.</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<a name="createVariable"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">createVariable</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">varname</span>,
- <span class="sig-arg">datatype</span>,
- <span class="sig-arg">dimensions</span>=<span class="sig-default">()</span>,
- <span class="sig-arg">fill_value</span>=<span class="sig-default">None</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>Creates a new variable with the given <code>varname</code>,
- <code>datatype</code>, and <code>dimensions</code>. If dimensions are not
- given, the variable is assumed to be a scalar.</p>
- <p>The <code>datatype</code> can be a numpy datatype object, or a string
- that describes a numpy dtype object (like the <code>dtype.str</code>
- attribue of a numpy array). Supported specifiers include: <code>'S1' or
- 'c' (NC_CHAR), 'i1' or 'b' or 'B' (NC_BYTE), 'i2' or 'h' or 's'
- (NC_SHORT), 'u2' (NC_USHORT), 'i4' or 'i' or 'l' (NC_INT), 'f4' or 'f'
- (NC_FLOAT), 'f8' or 'd' (NC_DOUBLE)</code>.</p>
- <p>Data from netCDF variables is presented to python as numpy arrays with
- the corresponding data type.</p>
- <p><code>dimensions</code> must be a tuple containing dimension names
- (strings) that have been defined previously using
- <code>createDimension</code>. The default value is an empty tuple, which
- means the variable is a scalar.</p>
- <p>The optional keyword <code>fill_value</code> can be used to override
- the default netCDF <code>_FillValue</code> (the value that the variable
- gets filled with before any data is written to it).</p>
- <p>The return value is the <a href="netCDF3.Variable-class.html"
- class="link">Variable</a> class instance describing the new variable.</p>
- <p>A list of names corresponding to netCDF variable attributes can be
- obtained with the <a href="netCDF3.Variable-class.html"
- class="link">Variable</a> method <code>ncattrs()</code>. A dictionary
- containing all the netCDF attribute name/value pairs is provided by the
- <code>__dict__</code> attribute of a <a
- href="netCDF3.Variable-class.html" class="link">Variable</a>
- instance.</p>
- <p><a href="netCDF3.Variable-class.html" class="link">Variable</a>
- instances behave much like array objects. Data can be assigned to or
- retrieved from a variable with indexing and slicing operations on the <a
- href="netCDF3.Variable-class.html" class="link">Variable</a> instance. A
- <a href="netCDF3.Variable-class.html" class="link">Variable</a> instance
- has four standard attributes: <code>dimensions, dtype, shape,
- ndim</code>. Application programs should never modify these attributes.
- The <code>dimensions</code> attribute is a tuple containing the names of
- the dimensions associated with this variable. The <code>dtype</code>
- attribute is a string describing the variable's data type (<code>i4, f8,
- S1,</code> etc). The <code>shape</code> attribute is a tuple describing
- the current sizes of all the variable's dimensions. The
- <code>ndim</code> attribute is the number of variable dimensions.</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<a name="delncattr"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">delncattr</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">name</span>,
- <span class="sig-arg">value</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>delete a netCDF dataset or group attribute. Only use if you need to
- delete a netCDF attribute with the same name as one of the reserved
- python attributes.</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<a name="getncattr"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">getncattr</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">name</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>retrievel a netCDF dataset attribute. Only use if you need to set a
- netCDF attribute with the same name as one of the reserved python
- attributes.</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<a name="set_fill_off"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">set_fill_off</span>(<span class="sig-arg">self</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>Sets the fill mode for a <a href="netCDF3.Dataset-class.html"
- class="link">Dataset</a> open for writing to <code>off</code>.</p>
- <p>This will prevent the data from being pre-filled with fill values,
- which may result in some performance improvements. However, you must then
- make sure the data is actually written before being read.</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<a name="set_fill_on"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">set_fill_on</span>(<span class="sig-arg">self</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>Sets the fill mode for a <a href="netCDF3.Dataset-class.html"
- class="link">Dataset</a> open for writing to <code>on</code>.</p>
- <p>This causes data to be pre-filled with fill values. The fill values
- can be controlled by the variable's <code>_Fill_Value</code> attribute,
- but is usually sufficient to the use the netCDF default
- <code>_Fill_Value</code> (defined separately for each variable type). The
- default behavior of the netCDF library correspongs to
- <code>set_fill_on</code>. Data which are equal to the
- <code>_Fill_Value</code> indicate that the variable was created, but
- never written to.</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<a name="setncattr"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">setncattr</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">name</span>,
- <span class="sig-arg">value</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>set a netCDF dataset attribute using name,value pair. Only use if you
- need to set a netCDF attribute with the same name as one of the reserved
- python attributes.</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<br />
-<!-- ==================== NAVIGATION BAR ==================== -->
-<table class="navbar" border="0" width="100%" cellpadding="0"
- bgcolor="#a0c0ff" cellspacing="0">
- <tr valign="middle">
-
- <!-- Tree link -->
- <th> <a
- href="module-tree.html">Trees</a> </th>
-
- <!-- Index link -->
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- href="identifier-index.html">Indices</a> </th>
-
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- href="help.html">Help</a> </th>
-
- <th class="navbar" width="100%"></th>
- </tr>
-</table>
-<table border="0" cellpadding="0" cellspacing="0" width="100%%">
- <tr>
- <td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Thu Jul 8 10:58:35 2010
- </td>
- <td align="right" class="footer">
- <a target="mainFrame" href="http://epydoc.sourceforge.net"
- >http://epydoc.sourceforge.net</a>
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-<script type="text/javascript">
- <!--
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- // visible); but by default, we want to hide them. So hide
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- checkCookie();
- // -->
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-</html>
diff --git a/docs/netCDF3.Dimension-class.html b/docs/netCDF3.Dimension-class.html
deleted file mode 100644
index de11635..0000000
--- a/docs/netCDF3.Dimension-class.html
+++ /dev/null
@@ -1,306 +0,0 @@
-<?xml version="1.0" encoding="ascii"?>
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
- "DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
-<head>
- <title>netCDF3.Dimension</title>
- <link rel="stylesheet" href="epydoc.css" type="text/css" />
- <script type="text/javascript" src="epydoc.js"></script>
-</head>
-
-<body bgcolor="white" text="black" link="blue" vlink="#204080"
- alink="#204080">
-<!-- ==================== NAVIGATION BAR ==================== -->
-<table class="navbar" border="0" width="100%" cellpadding="0"
- bgcolor="#a0c0ff" cellspacing="0">
- <tr valign="middle">
-
- <!-- Tree link -->
- <th> <a
- href="module-tree.html">Trees</a> </th>
-
- <!-- Index link -->
- <th> <a
- href="identifier-index.html">Indices</a> </th>
-
- <!-- Help link -->
- <th> <a
- href="help.html">Help</a> </th>
-
- <th class="navbar" width="100%"></th>
- </tr>
-</table>
-<table width="100%" cellpadding="0" cellspacing="0">
- <tr valign="top">
- <td width="100%">
- <span class="breadcrumbs">
- <a href="netCDF3-module.html">Module netCDF3</a> ::
- Class Dimension
- </span>
- </td>
- <td>
- <table cellpadding="0" cellspacing="0">
- <!-- hide/show private -->
- </table>
- </td>
- </tr>
-</table>
-<!-- ==================== CLASS DESCRIPTION ==================== -->
-<h1 class="epydoc">Class Dimension</h1><p class="nomargin-top"></p>
-<pre class="base-tree">
-object --+
- |
- <strong class="uidshort">Dimension</strong>
-</pre>
-
-<hr />
-<p>Dimension(self, dset, name, size=None)</p>
- <p>A netCDF <a href="netCDF3.Dimension-class.html"
- class="link">Dimension</a> is used to describe the coordinates of a <a
- href="netCDF3.Variable-class.html" class="link">Variable</a>.</p>
- <p><a href="netCDF3.Dimension-class.html" class="link">Dimension</a>
- instances should be created using the <a
- href="netCDF3.Dataset-class.html#createDimension"
- class="link">createDimension</a> method of a <a
- href="netCDF3.Dataset-class.html" class="link">Dataset</a> instance, not
- using this class directly.</p>
- <p><b>Parameters:</b></p>
- <p><b><code>dset</code></b> - Dataset instance.</p>
- <p><b><code>name</code></b> - Name of the dimension.</p>
- <p><b>Keywords:</b></p>
- <p><b><code>size</code></b> - Size of the dimension. <code>None</code>
- or 0 means unlimited. (Default <code>None</code>).</p>
- <p><b>Returns:</b></p>
- <p>a <a href="netCDF3.Dimension-class.html" class="link">Dimension</a>
- instance. All further operations on the netCDF Dimension are accomplised
- via <a href="netCDF3.Dimension-class.html" class="link">Dimension</a>
- instance methods.</p>
- <p>The current maximum size of a <a href="netCDF3.Dimension-class.html"
- class="link">Dimension</a> instance can be obtained by calling the python
- <code>len</code> function on the <a href="netCDF3.Dimension-class.html"
- class="link">Dimension</a> instance. The <code>isunlimited()</code>
- method of a <a href="netCDF3.Dimension-class.html"
- class="link">Dimension</a> instance can be used to determine if the
- dimension is unlimited</p>
-
-<!-- ==================== INSTANCE METHODS ==================== -->
-<a name="section-InstanceMethods"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Instance Methods</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Dimension-class.html#__init__" class="summary-sig-name">__init__</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">dset</span>,
- <span class="summary-sig-arg">name</span>,
- <span class="summary-sig-arg">size</span>=<span class="summary-sig-default">None</span>)</span><br />
- x.__init__(...) initializes x; see x.__class__.__doc__ for signature</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="__len__"></a><span class="summary-sig-name">__len__</span>(<span class="summary-sig-arg">x</span>)</span><br />
- len(x)</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type">a new object with type S, a subtype of T</span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Dimension-class.html#__new__" class="summary-sig-name">__new__</a>(<span class="summary-sig-arg">T</span>,
- <span class="summary-sig-arg">S</span>,
- <span class="summary-sig-arg">...</span>)</span></td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="isunlimited"></a><span class="summary-sig-name">isunlimited</span>(<span class="summary-sig-arg">self</span>)</span><br />
- returns <code>True</code> if the <a
- href="netCDF3.Dimension-class.html" class="link">Dimension</a>
- instance is unlimited, <code>False</code> otherwise.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
- <tr>
- <td colspan="2" class="summary">
- <p class="indent-wrapped-lines"><b>Inherited from <code>object</code></b>:
- <code>__delattr__</code>,
- <code>__format__</code>,
- <code>__getattribute__</code>,
- <code>__hash__</code>,
- <code>__reduce__</code>,
- <code>__reduce_ex__</code>,
- <code>__repr__</code>,
- <code>__setattr__</code>,
- <code>__sizeof__</code>,
- <code>__str__</code>,
- <code>__subclasshook__</code>
- </p>
- </td>
- </tr>
-</table>
-<!-- ==================== PROPERTIES ==================== -->
-<a name="section-Properties"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Properties</span></td>
-</tr>
- <tr>
- <td colspan="2" class="summary">
- <p class="indent-wrapped-lines"><b>Inherited from <code>object</code></b>:
- <code>__class__</code>
- </p>
- </td>
- </tr>
-</table>
-<!-- ==================== METHOD DETAILS ==================== -->
-<a name="section-MethodDetails"></a>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Method Details</span></td>
-</tr>
-</table>
-<a name="__init__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__init__</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">dset</span>,
- <span class="sig-arg">name</span>,
- <span class="sig-arg">size</span>=<span class="sig-default">None</span>)</span>
- <br /><em class="fname">(Constructor)</em>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>x.__init__(...) initializes x; see x.__class__.__doc__ for
- signature</p>
- <dl class="fields">
- <dt>Overrides:
- object.__init__
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<a name="__new__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__new__</span>(<span class="sig-arg">T</span>,
- <span class="sig-arg">S</span>,
- <span class="sig-arg">...</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
-
- <dl class="fields">
- <dt>Returns: a new object with type S, a subtype of T</dt>
- <dt>Overrides:
- object.__new__
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<br />
-<!-- ==================== NAVIGATION BAR ==================== -->
-<table class="navbar" border="0" width="100%" cellpadding="0"
- bgcolor="#a0c0ff" cellspacing="0">
- <tr valign="middle">
-
- <!-- Tree link -->
- <th> <a
- href="module-tree.html">Trees</a> </th>
-
- <!-- Index link -->
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- href="identifier-index.html">Indices</a> </th>
-
- <!-- Help link -->
- <th> <a
- href="help.html">Help</a> </th>
-
- <th class="navbar" width="100%"></th>
- </tr>
-</table>
-<table border="0" cellpadding="0" cellspacing="0" width="100%%">
- <tr>
- <td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Thu Jul 8 10:58:35 2010
- </td>
- <td align="right" class="footer">
- <a target="mainFrame" href="http://epydoc.sourceforge.net"
- >http://epydoc.sourceforge.net</a>
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- <!--
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- checkCookie();
- // -->
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diff --git a/docs/netCDF3.MFDataset-class.html b/docs/netCDF3.MFDataset-class.html
deleted file mode 100644
index 19db979..0000000
--- a/docs/netCDF3.MFDataset-class.html
+++ /dev/null
@@ -1,437 +0,0 @@
-<?xml version="1.0" encoding="ascii"?>
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
- "DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
-<head>
- <title>netCDF3.MFDataset</title>
- <link rel="stylesheet" href="epydoc.css" type="text/css" />
- <script type="text/javascript" src="epydoc.js"></script>
-</head>
-
-<body bgcolor="white" text="black" link="blue" vlink="#204080"
- alink="#204080">
-<!-- ==================== NAVIGATION BAR ==================== -->
-<table class="navbar" border="0" width="100%" cellpadding="0"
- bgcolor="#a0c0ff" cellspacing="0">
- <tr valign="middle">
-
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- href="module-tree.html">Trees</a> </th>
-
- <!-- Index link -->
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- href="identifier-index.html">Indices</a> </th>
-
- <!-- Help link -->
- <th> <a
- href="help.html">Help</a> </th>
-
- <th class="navbar" width="100%"></th>
- </tr>
-</table>
-<table width="100%" cellpadding="0" cellspacing="0">
- <tr valign="top">
- <td width="100%">
- <span class="breadcrumbs">
- <a href="netCDF3-module.html">Module netCDF3</a> ::
- Class MFDataset
- </span>
- </td>
- <td>
- <table cellpadding="0" cellspacing="0">
- <!-- hide/show private -->
- </table>
- </td>
- </tr>
-</table>
-<!-- ==================== CLASS DESCRIPTION ==================== -->
-<h1 class="epydoc">Class MFDataset</h1><p class="nomargin-top"></p>
-<pre class="base-tree">
-object --+
- |
- <a href="netCDF3.Dataset-class.html">Dataset</a> --+
- |
- <strong class="uidshort">MFDataset</strong>
-</pre>
-
-<hr />
-<p>MFDataset(self, files, check=False, exclude=[])</p>
- <p>Class for reading multi-file netCDF Datasets, making variables
- spanning multiple files appear as if they were in one file.</p>
- <p>Datasets must be in <code>NETCDF4_CLASSIC, NETCDF3_CLASSIC or
- NETCDF3_64BIT</code> format (<code>NETCDF4</code> Datasets won't
- work).</p>
- <p>Adapted from <a href="http://pysclint.sourceforge.net/pycdf"
- target="_top">pycdf</a> by Andre Gosselin.</p>
- <p>Example usage:</p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span><span class="py-keyword">import</span> numpy
-<span class="py-prompt">>>> </span><span class="py-comment"># create a series of netCDF files with a variable sharing</span>
-<span class="py-prompt">>>> </span><span class="py-comment"># the same unlimited dimension.</span>
-<span class="py-prompt">>>> </span><span class="py-keyword">for</span> nfile <span class="py-keyword">in</span> range(10):
-<span class="py-prompt">>>> </span> f = Dataset(<span class="py-string">'mftest'</span>+repr(nfile)+<span class="py-string">'.nc'</span>,<span class="py-string">'w'</span>)
-<span class="py-prompt">>>> </span> f.createDimension(<span class="py-string">'x'</span>,None)
-<span class="py-prompt">>>> </span> x = f.createVariable(<span class="py-string">'x'</span>,<span class="py-string">'i'</span>,(<span class="py-string">'x'</span>,))
-<span class="py-prompt">>>> </span> x[0:10] = numpy.arange(nfile*10,10*(nfile+1))
-<span class="py-prompt">>>> </span> f.close()
-<span class="py-prompt">>>> </span><span class="py-comment"># now read all those files in at once, in one Dataset.</span>
-<span class="py-prompt">>>> </span>f = MFDataset(<span class="py-string">'mftest*nc'</span>)
-<span class="py-prompt">>>> </span><span class="py-keyword">print</span> f.variables[<span class="py-string">'x'</span>][:]
-<span class="py-output">[ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24</span>
-<span class="py-output"> 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49</span>
-<span class="py-output"> 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74</span>
-<span class="py-output"> 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99]</span></pre>
-
-<!-- ==================== INSTANCE METHODS ==================== -->
-<a name="section-InstanceMethods"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Instance Methods</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.MFDataset-class.html#__getattribute__" class="summary-sig-name">__getattribute__</a>(<span class="summary-sig-arg">...</span>)</span><br />
- x.__getattribute__('name') <==> x.name</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.MFDataset-class.html#__init__" class="summary-sig-name">__init__</a>()</span><br />
- Open a Dataset spanning multiple files, making it look as if it was a
- single file.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.MFDataset-class.html#__setattr__" class="summary-sig-name">__setattr__</a>(<span class="summary-sig-arg">...</span>)</span><br />
- override base class attribute creation</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.MFDataset-class.html#close" class="summary-sig-name">close</a>(<span class="summary-sig-arg">...</span>)</span><br />
- Close the Dataset.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.MFDataset-class.html#ncattrs" class="summary-sig-name">ncattrs</a>(<span class="summary-sig-arg">...</span>)</span><br />
- return netCDF global attribute names for this <a
- href="netCDF3.Dataset-class.html" class="link">Dataset</a> in a list.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
- <tr>
- <td colspan="2" class="summary">
- <p class="indent-wrapped-lines"><b>Inherited from <code><a href="netCDF3.Dataset-class.html">Dataset</a></code></b>:
- <code><a href="netCDF3.Dataset-class.html#__delattr__">__delattr__</a></code>,
- <code><a href="netCDF3.Dataset-class.html#__getattr__">__getattr__</a></code>,
- <code><a href="netCDF3.Dataset-class.html#__new__">__new__</a></code>,
- <code><a href="netCDF3.Dataset-class.html#createDimension">createDimension</a></code>,
- <code><a href="netCDF3.Dataset-class.html#createVariable">createVariable</a></code>,
- <code><a href="netCDF3.Dataset-class.html#delncattr">delncattr</a></code>,
- <code><a href="netCDF3.Dataset-class.html#getncattr">getncattr</a></code>,
- <code><a href="netCDF3.Dataset-class.html#renameDimension">renameDimension</a></code>,
- <code><a href="netCDF3.Dataset-class.html#renameVariable">renameVariable</a></code>,
- <code><a href="netCDF3.Dataset-class.html#set_fill_off">set_fill_off</a></code>,
- <code><a href="netCDF3.Dataset-class.html#set_fill_on">set_fill_on</a></code>,
- <code><a href="netCDF3.Dataset-class.html#setncattr">setncattr</a></code>,
- <code><a href="netCDF3.Dataset-class.html#sync">sync</a></code>
- </p>
- <p class="indent-wrapped-lines"><b>Inherited from <code>object</code></b>:
- <code>__format__</code>,
- <code>__hash__</code>,
- <code>__reduce__</code>,
- <code>__reduce_ex__</code>,
- <code>__repr__</code>,
- <code>__sizeof__</code>,
- <code>__str__</code>,
- <code>__subclasshook__</code>
- </p>
- </td>
- </tr>
-</table>
-<!-- ==================== INSTANCE VARIABLES ==================== -->
-<a name="section-InstanceVariables"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Instance Variables</span></td>
-</tr>
- <tr>
- <td colspan="2" class="summary">
- <p class="indent-wrapped-lines"><b>Inherited from <code><a href="netCDF3.Dataset-class.html">Dataset</a></code></b>:
- <code><a href="netCDF3.Dataset-class.html#dimensions">dimensions</a></code>,
- <code><a href="netCDF3.Dataset-class.html#file_format">file_format</a></code>,
- <code><a href="netCDF3.Dataset-class.html#variables">variables</a></code>
- </p>
- </td>
- </tr>
-</table>
-<!-- ==================== PROPERTIES ==================== -->
-<a name="section-Properties"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Properties</span></td>
-</tr>
- <tr>
- <td colspan="2" class="summary">
- <p class="indent-wrapped-lines"><b>Inherited from <code><a href="netCDF3.Dataset-class.html">Dataset</a></code></b>:
- <code><a href="netCDF3.Dataset-class.html#maskanscale">maskanscale</a></code>
- </p>
- <p class="indent-wrapped-lines"><b>Inherited from <code>object</code></b>:
- <code>__class__</code>
- </p>
- </td>
- </tr>
-</table>
-<!-- ==================== METHOD DETAILS ==================== -->
-<a name="section-MethodDetails"></a>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Method Details</span></td>
-</tr>
-</table>
-<a name="__getattribute__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__getattribute__</span>(<span class="sig-arg">...</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>x.__getattribute__('name') <==> x.name</p>
- <dl class="fields">
- <dt>Overrides:
- object.__getattribute__
- <dd><em class="note">(inherited documentation)</em></dd>
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<a name="__init__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__init__</span>()</span>
- <br /><em class="fname">(Constructor)</em>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>Open a Dataset spanning multiple files, making it look as if it was a
- single file. Variables in the list of files that share the same unlimited
- dimension are aggregated.</p>
- <p>Adapted from <a href="http://pysclint.sourceforge.net/pycdf"
- target="_top">pycdf</a> by Andre Gosselin.</p>
- <p>Usage:</p>
- <p>nc = MFDataset(files, check=False, exclude=[])</p>
- <dl class="fields">
- <dt>Parameters:</dt>
- <dd><ul class="nomargin-top">
- <li><strong class="pname"><code>files</code></strong> - either a sequence of netCDF files or a string with a wildcard
- (converted to a sorted list of files using glob) The first file
- in the list will become the "master" file, defining all
- the record variables (variables with an unlimited dimension)
- which may span subsequent files. Attribute access returns
- attributes only from "master" file. The files are
- always opened in read-only mode.</li>
- <li><strong class="pname"><code>check</code></strong> - True if you want to do consistency checking to ensure the correct
- variables structure for all of the netcdf files. Checking makes
- the initialization of the MFDataset instance much slower. Default
- is False.</li>
- <li><strong class="pname"><code>exclude</code></strong> - A list of variable names to exclude from aggregation. Default is
- an empty list.</li>
- </ul></dd>
- <dt>Overrides:
- object.__init__
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<a name="__setattr__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__setattr__</span>(<span class="sig-arg">...</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>override base class attribute creation</p>
- <dl class="fields">
- <dt>Overrides:
- object.__setattr__
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<a name="close"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">close</span>(<span class="sig-arg">...</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>Close the Dataset.</p>
- <dl class="fields">
- <dt>Overrides:
- <a href="netCDF3.Dataset-class.html#close">Dataset.close</a>
- <dd><em class="note">(inherited documentation)</em></dd>
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<a name="ncattrs"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">ncattrs</span>(<span class="sig-arg">...</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>return netCDF global attribute names for this <a
- href="netCDF3.Dataset-class.html" class="link">Dataset</a> in a list.</p>
- <dl class="fields">
- <dt>Overrides:
- <a href="netCDF3.Dataset-class.html#ncattrs">Dataset.ncattrs</a>
- <dd><em class="note">(inherited documentation)</em></dd>
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<br />
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diff --git a/docs/netCDF3.Variable-class.html b/docs/netCDF3.Variable-class.html
deleted file mode 100644
index 28fab39..0000000
--- a/docs/netCDF3.Variable-class.html
+++ /dev/null
@@ -1,842 +0,0 @@
-<?xml version="1.0" encoding="ascii"?>
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
- "DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
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- <title>netCDF3.Variable</title>
- <link rel="stylesheet" href="epydoc.css" type="text/css" />
- <script type="text/javascript" src="epydoc.js"></script>
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- <tr valign="top">
- <td width="100%">
- <span class="breadcrumbs">
- <a href="netCDF3-module.html">Module netCDF3</a> ::
- Class Variable
- </span>
- </td>
- <td>
- <table cellpadding="0" cellspacing="0">
- <!-- hide/show private -->
- </table>
- </td>
- </tr>
-</table>
-<!-- ==================== CLASS DESCRIPTION ==================== -->
-<h1 class="epydoc">Class Variable</h1><p class="nomargin-top"></p>
-<pre class="base-tree">
-object --+
- |
- <strong class="uidshort">Variable</strong>
-</pre>
-
-<hr />
-<p>Variable(self, dset, name, datatype, dimensions=(),
- fill_value=None)</p>
- <p>A netCDF <a href="netCDF3.Variable-class.html"
- class="link">Variable</a> is used to read and write netCDF data. They
- are analagous to numpy array objects.</p>
- <p><a href="netCDF3.Variable-class.html" class="link">Variable</a>
- instances should be created using the <a
- href="netCDF3.Dataset-class.html#createVariable"
- class="link">createVariable</a> method of a <a
- href="netCDF3.Dataset-class.html" class="link">Dataset</a> instance, not
- using this class directly.</p>
- <p><b>Parameters:</b></p>
- <p><b><code>dset</code></b> - Dataset instance.</p>
- <p><b><code>name</code></b> - Name of the variable.</p>
- <p><b><code>datatype</code></b> - <a href="netCDF3.Variable-class.html"
- class="link">Variable</a> data type. Can be specified by providing a
- numpy dtype object, or a string that describes a numpy dtype object.
- Supported values, corresponding to <code>str</code> attribute of numpy
- dtype objects, include <code>'f4'</code> (32-bit floating point),
- <code>'f8'</code> (64-bit floating point), <code>'i4'</code> (32-bit
- signed integer), <code>'i2'</code> (16-bit signed integer),
- <code>'i4'</code> (8-bit singed integer), <code>'i1'</code> (8-bit signed
- integer), or <code>'S1'</code> (single-character string). From
- compatibility with Scientific.IO.NetCDF, the old Numeric single character
- typecodes can also be used (<code>'f'</code> instead of
- <code>'f4'</code>, <code>'d'</code> instead of <code>'f8'</code>,
- <code>'h'</code> or <code>'s'</code> instead of <code>'i2'</code>,
- <code>'b'</code> or <code>'B'</code> instead of <code>'i1'</code>,
- <code>'c'</code> instead of <code>'S1'</code>, and <code>'i'</code> or
- <code>'l'</code> instead of <code>'i4'</code>).</p>
- <p><b>Keywords:</b></p>
- <p><b><code>dimensions</code></b> - a tuple containing the variable's
- dimension names (defined previously with <code>createDimension</code>).
- Default is an empty tuple which means the variable is a scalar (and
- therefore has no dimensions).</p>
- <p><b><code>fill_value</code></b> - If specified, the default netCDF
- <code>_FillValue</code> (the value that the variable gets filled with
- before any data is written to it) is replaced with this value.</p>
- <p><b>Returns:</b></p>
- <p>a <a href="netCDF3.Variable-class.html" class="link">Variable</a>
- instance. All further operations on the netCDF Variable are accomplised
- via <a href="netCDF3.Variable-class.html" class="link">Variable</a>
- instance methods.</p>
- <p>A list of attribute names corresponding to netCDF attributes defined
- for the variable can be obtained with the <code>ncattrs()</code> method.
- These attributes can be created by assigning to an attribute of the <a
- href="netCDF3.Variable-class.html" class="link">Variable</a> instance. A
- dictionary containing all the netCDF attribute name/value pairs is
- provided by the <code>__dict__</code> attribute of a <a
- href="netCDF3.Variable-class.html" class="link">Variable</a>
- instance.</p>
- <p>The instance variables <code>dimensions, dtype, ndim, shape</code> are
- read-only (and should not be modified by the user).</p>
-
-<!-- ==================== INSTANCE METHODS ==================== -->
-<a name="section-InstanceMethods"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Instance Methods</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Variable-class.html#__delattr__" class="summary-sig-name">__delattr__</a>(<span class="summary-sig-arg">...</span>)</span><br />
- x.__delattr__('name') <==> del x.name</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="__delitem__"></a><span class="summary-sig-name">__delitem__</span>(<span class="summary-sig-arg">x</span>,
- <span class="summary-sig-arg">y</span>)</span><br />
- del x[y]</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="__getattr__"></a><span class="summary-sig-name">__getattr__</span>(<span class="summary-sig-arg">...</span>)</span></td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Variable-class.html#__getattribute__" class="summary-sig-name">__getattribute__</a>(<span class="summary-sig-arg">...</span>)</span><br />
- x.__getattribute__('name') <==> x.name</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="__getitem__"></a><span class="summary-sig-name">__getitem__</span>(<span class="summary-sig-arg">...</span>)</span></td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Variable-class.html#__init__" class="summary-sig-name">__init__</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">dset</span>,
- <span class="summary-sig-arg">name</span>,
- <span class="summary-sig-arg">datatype</span>,
- <span class="summary-sig-arg">dimensions</span>=<span class="summary-sig-default">()</span>,
- <span class="summary-sig-arg">fill_value</span>=<span class="summary-sig-default">None</span>)</span><br />
- x.__init__(...) initializes x; see x.__class__.__doc__ for signature</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="__len__"></a><span class="summary-sig-name">__len__</span>(<span class="summary-sig-arg">x</span>)</span><br />
- len(x)</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type">a new object with type S, a subtype of T</span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Variable-class.html#__new__" class="summary-sig-name">__new__</a>(<span class="summary-sig-arg">T</span>,
- <span class="summary-sig-arg">S</span>,
- <span class="summary-sig-arg">...</span>)</span></td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Variable-class.html#__setattr__" class="summary-sig-name">__setattr__</a>(<span class="summary-sig-arg">...</span>)</span><br />
- x.__setattr__('name', value) <==> x.name = value</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="__setitem__"></a><span class="summary-sig-name">__setitem__</span>(<span class="summary-sig-arg">x</span>,
- <span class="summary-sig-arg">i</span>,
- <span class="summary-sig-arg">y</span>)</span><br />
- x[i]=y</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Variable-class.html#assignValue" class="summary-sig-name">assignValue</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">val</span>)</span><br />
- assign a value to a scalar variable.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Variable-class.html#delncattr" class="summary-sig-name">delncattr</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">name</span>,
- <span class="summary-sig-arg">value</span>)</span><br />
- delete a netCDF variable attribute.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Variable-class.html#getValue" class="summary-sig-name">getValue</a>(<span class="summary-sig-arg">self</span>)</span><br />
- get the value of a scalar variable.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Variable-class.html#getncattr" class="summary-sig-name">getncattr</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">name</span>)</span><br />
- retrievel a netCDF variable attribute.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="ncattrs"></a><span class="summary-sig-name">ncattrs</span>(<span class="summary-sig-arg">self</span>)</span><br />
- return netCDF attribute names for this <a
- href="netCDF3.Variable-class.html" class="link">Variable</a> in a
- list.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Variable-class.html#set_auto_maskandscale" class="summary-sig-name">set_auto_maskandscale</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">maskandscale</span>)</span><br />
- turn on or off automatic conversion of variable data to and from
- masked arrays and automatic packing/unpacking of variable data using
- <code>scale_factor</code> and <code>add_offset</code> attributes.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netCDF3.Variable-class.html#setncattr" class="summary-sig-name">setncattr</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">name</span>,
- <span class="summary-sig-arg">value</span>)</span><br />
- set a netCDF variable attribute using name,value pair.</td>
- <td align="right" valign="top">
-
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
- <tr>
- <td colspan="2" class="summary">
- <p class="indent-wrapped-lines"><b>Inherited from <code>object</code></b>:
- <code>__format__</code>,
- <code>__hash__</code>,
- <code>__reduce__</code>,
- <code>__reduce_ex__</code>,
- <code>__repr__</code>,
- <code>__sizeof__</code>,
- <code>__str__</code>,
- <code>__subclasshook__</code>
- </p>
- </td>
- </tr>
-</table>
-<!-- ==================== INSTANCE VARIABLES ==================== -->
-<a name="section-InstanceVariables"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Instance Variables</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a name="dimensions"></a><span class="summary-name">dimensions</span><br />
- A tuple containing the names of the dimensions associated with this
- variable.
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a name="dtype"></a><span class="summary-name">dtype</span><br />
- A numpy dtype object describing the variable's data type.
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a name="ndim"></a><span class="summary-name">ndim</span><br />
- The number of variable dimensions.
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a name="shape"></a><span class="summary-name">shape</span><br />
- a tuple describing the current size of all the variable's dimensions.
- </td>
- </tr>
-</table>
-<!-- ==================== PROPERTIES ==================== -->
-<a name="section-Properties"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Properties</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a name="maskandscale"></a><span class="summary-name">maskandscale</span>
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a name="size"></a><span class="summary-name">size</span><br />
- Return the number of stored elements.
- </td>
- </tr>
- <tr>
- <td colspan="2" class="summary">
- <p class="indent-wrapped-lines"><b>Inherited from <code>object</code></b>:
- <code>__class__</code>
- </p>
- </td>
- </tr>
-</table>
-<!-- ==================== METHOD DETAILS ==================== -->
-<a name="section-MethodDetails"></a>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Method Details</span></td>
-</tr>
-</table>
-<a name="__delattr__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__delattr__</span>(<span class="sig-arg">...</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>x.__delattr__('name') <==> del x.name</p>
- <dl class="fields">
- <dt>Overrides:
- object.__delattr__
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<a name="__getattribute__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__getattribute__</span>(<span class="sig-arg">...</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>x.__getattribute__('name') <==> x.name</p>
- <dl class="fields">
- <dt>Overrides:
- object.__getattribute__
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<a name="__init__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__init__</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">dset</span>,
- <span class="sig-arg">name</span>,
- <span class="sig-arg">datatype</span>,
- <span class="sig-arg">dimensions</span>=<span class="sig-default">()</span>,
- <span class="sig-arg">fill_value</span>=<span class="sig-default">None</span>)</span>
- <br /><em class="fname">(Constructor)</em>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>x.__init__(...) initializes x; see x.__class__.__doc__ for
- signature</p>
- <dl class="fields">
- <dt>Overrides:
- object.__init__
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<a name="__new__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__new__</span>(<span class="sig-arg">T</span>,
- <span class="sig-arg">S</span>,
- <span class="sig-arg">...</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
-
- <dl class="fields">
- <dt>Returns: a new object with type S, a subtype of T</dt>
- <dt>Overrides:
- object.__new__
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<a name="__setattr__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__setattr__</span>(<span class="sig-arg">...</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>x.__setattr__('name', value) <==> x.name = value</p>
- <dl class="fields">
- <dt>Overrides:
- object.__setattr__
- </dt>
- </dl>
-</td></tr></table>
-</div>
-<a name="assignValue"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">assignValue</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">val</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>assign a value to a scalar variable. Provided for compatibility with
- Scientific.IO.NetCDF, can also be done by assigning to a slice ([:]).</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<a name="delncattr"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">delncattr</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">name</span>,
- <span class="sig-arg">value</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>delete a netCDF variable attribute. Only use if you need to delete a
- netCDF attribute with the same name as one of the reserved python
- attributes.</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<a name="getValue"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">getValue</span>(<span class="sig-arg">self</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>get the value of a scalar variable. Provided for compatibility with
- Scientific.IO.NetCDF, can also be done by slicing ([:]).</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<a name="getncattr"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">getncattr</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">name</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>retrievel a netCDF variable attribute. Only use if you need to set a
- netCDF attribute with the same name as one of the reserved python
- attributes.</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<a name="set_auto_maskandscale"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">set_auto_maskandscale</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">maskandscale</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>turn on or off automatic conversion of variable data to and from
- masked arrays and automatic packing/unpacking of variable data using
- <code>scale_factor</code> and <code>add_offset</code> attributes.</p>
- <p>If <code>maskandscale</code> is set to <code>True</code>, when data is
- read from a variable it is converted to a masked array if any of the
- values are exactly equal to the either the netCDF _FillValue or the value
- specified by the missing_value variable attribute. The fill_value of the
- masked array is set to the missing_value attribute (if it exists),
- otherwise the netCDF _FillValue attribute (which has a default value for
- each data type). When data is written to a variable, the masked array is
- converted back to a regular numpy array by replacing all the masked
- values by the fill_value of the masked array.</p>
- <p>If <code>maskandscale</code> is set to <code>True</code>, and the
- variable has a <code>scale_factor</code> and an <code>add_offset</code>
- attribute, then data read from that variable is unpacked using:</p>
-<pre class="literalblock">
- data = self.scale_factor*data + self.add_offset
-</pre>
- <p>When data is written to a variable it is packed using:</p>
-<pre class="literalblock">
- data = (data - self.add_offset)/self.scale_factor
-</pre>
- <p>For more information on how <code>scale_factor</code> and
- <code>add_offset</code> can be used to provide simple compression, see <a
- href="http://www.cdc.noaa.gov/cdc/conventions/cdc_netcdf_standard.shtml"
- target="_top">http://www.cdc.noaa.gov/cdc/conventions/cdc_netcdf_standard.shtml</a>.</p>
- <p>The default value of <code>maskandscale</code> is <code>True</code>
- (automatic conversions are performed).</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<a name="setncattr"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">setncattr</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">name</span>,
- <span class="sig-arg">value</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- >
- </td>
- </tr></table>
-
- <p>set a netCDF variable attribute using name,value pair. Only use if
- you need to set a netCDF attribute with the same name as one of the
- reserved python attributes.</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<br />
-<!-- ==================== NAVIGATION BAR ==================== -->
-<table class="navbar" border="0" width="100%" cellpadding="0"
- bgcolor="#a0c0ff" cellspacing="0">
- <tr valign="middle">
-
- <!-- Tree link -->
- <th> <a
- href="module-tree.html">Trees</a> </th>
-
- <!-- Index link -->
- <th> <a
- href="identifier-index.html">Indices</a> </th>
-
- <!-- Help link -->
- <th> <a
- href="help.html">Help</a> </th>
-
- <th class="navbar" width="100%"></th>
- </tr>
-</table>
-<table border="0" cellpadding="0" cellspacing="0" width="100%%">
- <tr>
- <td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Thu Jul 8 10:58:35 2010
- </td>
- <td align="right" class="footer">
- <a target="mainFrame" href="http://epydoc.sourceforge.net"
- >http://epydoc.sourceforge.net</a>
- </td>
- </tr>
-</table>
-
-<script type="text/javascript">
- <!--
- // Private objects are initially displayed (because if
- // javascript is turned off then we want them to be
- // visible); but by default, we want to hide them. So hide
- // them unless we have a cookie that says to show them.
- checkCookie();
- // -->
-</script>
-</body>
-</html>
diff --git a/docs/netCDF4-module.html b/docs/netCDF4-module.html
index bc76023..2b96e7f 100644
--- a/docs/netCDF4-module.html
+++ b/docs/netCDF4-module.html
@@ -91,13 +91,14 @@
(1.5.1 or higher recommended, required if using python 3).
</li>
<li>
- <a href="http://cython.org" target="_top">Cython</a> is optional -
- if it is installed setup.py will use it to recompile the Cython
- source code into C, using conditional compilation to enable
- features in the netCDF API that have been added since version
- 4.1.1. If Cython is not installed, these features (such as the
- ability to rename Group objects) will be disabled to preserve
- backward compatibility with older versions of the netCDF library.
+ <a href="http://cython.org" target="_top">Cython</a>, version 0.19
+ or later, is optional - if it is installed setup.py will use it to
+ recompile the Cython source code into C, using conditional
+ compilation to enable features in the netCDF API that have been
+ added since version 4.1.1. If Cython is not installed, these
+ features (such as the ability to rename Group objects) will be
+ disabled to preserve backward compatibility with older versions of
+ the netCDF library.
</li>
<li>
For python < 2.7, the ordereddict module <a
@@ -143,68 +144,24 @@
It's easiest if all the C libs are built as shared libraries.
</li>
<li>
- optionally, set the <code>HDF5_DIR</code> environment variable to
- point to where HDF5 is installed (the libs in
- <code>$HDF5_DIR/lib</code>, the headers in
- <code>$HDF5_DIR/include</code>). If the headers and libs are
- installed in different places, you can use <code>HDF5_INCDIR</code>
- and <code>HDF5_LIBDIR</code> to define the locations of the headers
- and libraries independently.
+ By default, the utility <code>nc-config</code>, installed with
+ netcdf 4.1.2 or higher, will be run used to determine where all the
+ dependencies live.
</li>
<li>
- optionally, set the <code>NETCDF4_DIR</code> (or
- <code>NETCDF4_INCDIR</code> and <code>NETCDF4_LIBDIR</code>)
- environment variable(s) to point to where the netCDF version 4
- library and headers are installed.
- </li>
- <li>
- If the locations of the HDF5 and netCDF libs and headers are not
- specified with environment variables, some standard locations will
- be searched.
- </li>
- <li>
- if HDF5 was built as a static library with <a
- href="http://www.hdfgroup.org/doc_resource/SZIP/"
- target="_top">szip</a> support, you may also need to set the
- <code>SZIP_DIR</code> (or <code>SZIP_INCDIR</code> and
- <code>SZIP_LIBDIR</code>) environment variable(s) to point to where
- szip is installed. Note that the netCDF library does not support
- creating szip compressed files, but can read szip compressed files
- if the HDF5 lib is configured to support szip.
- </li>
- <li>
- if netCDF lib was built as a static library with HDF4 and/or
- OpenDAP support, you may also need to set <code>HDF4_DIR</code>,
- <code>JPEG_DIR</code> and/or <code>CURL_DIR</code>.
- </li>
- <li>
- Instead of using environment variables to specify the locations of
- the required libraries, you can either let setup.py try to
- auto-detect their locations, or use the file <code>setup.cfg</code>
- to specify them. To use this method, copy the file
- <code>setup.cfg.template</code> to <code>setup.cfg</code>, then
- open <code>setup.cfg</code> in a text editor and follow the
- instructions in the comments for editing. If you use
- <code>setup.cfg</code>, environment variables will be ignored.
- </li>
- <li>
- If you are using netcdf 4.1.2 or higher, instead of setting all
- those enviroment variables defining where libs are installed, you
- can just set one environment variable, USE_NCCONFIG, to 1. This
- will tell python to run the netcdf nc-config utility to determine
- where all the dependencies live.
+ If <code>nc-config</code> is not in your default <code>PATH</code>,
+ rename the file <code>setup.cfg.template</code> to
+ <code>setup.cfg</code>, then edit in a text editor (follow the
+ instructions in the comments). In addition to specifying the path
+ to <code>nc-config</code>, you can manually set the paths to all
+ the libraries and their include files (in case
+ <code>nc-config</code> does not do the right thing).
</li>
<li>
run <code>python setup.py build</code>, then <code>python setup.py
install</code> (as root if necessary).
</li>
<li>
- If using environment variables to specify build options, be sure to
- run 'python setup.py build' *without* using sudo. sudo does not
- pass environment variables. If you run 'setup.py build' first
- without sudo, you can run 'setup.py install' with sudo.
- </li>
- <li>
run the tests in the 'test' directory by running <code>python
run_all.py</code>.
</li>
@@ -947,7 +904,7 @@
PERFORMANCE OF THIS SOFTWARE.
</p>
<p><strong>Version:</strong>
- 1.1.2
+ 1.1.7
</p>
</div><!-- ==================== CLASSES ==================== -->
<a name="section-Classes"></a>
@@ -1180,6 +1137,13 @@
<td width="15%" align="right" valign="top" class="summary">
<span class="summary-type"> </span>
</td><td class="summary">
+ <a name="MINYEAR"></a><span class="summary-name">MINYEAR</span> = <code title="1">1</code>
+ </td>
+ </tr>
+<tr>
+ <td width="15%" align="right" valign="top" class="summary">
+ <span class="summary-type"> </span>
+ </td><td class="summary">
<a name="NC_DISKLESS"></a><span class="summary-name">NC_DISKLESS</span> = <code title="8">8</code>
</td>
</tr>
@@ -1187,28 +1151,28 @@
<td width="15%" align="right" valign="top" class="summary">
<span class="summary-type"> </span>
</td><td class="summary">
- <a name="__has_nc_inq_format_extended__"></a><span class="summary-name">__has_nc_inq_format_extended__</span> = <code title="0">0</code>
+ <a name="__has_nc_inq_format_extended__"></a><span class="summary-name">__has_nc_inq_format_extended__</span> = <code title="1">1</code>
</td>
</tr>
<tr>
<td width="15%" align="right" valign="top" class="summary">
<span class="summary-type"> </span>
</td><td class="summary">
- <a name="__has_nc_inq_path__"></a><span class="summary-name">__has_nc_inq_path__</span> = <code title="0">0</code>
+ <a name="__has_nc_inq_path__"></a><span class="summary-name">__has_nc_inq_path__</span> = <code title="1">1</code>
</td>
</tr>
<tr>
<td width="15%" align="right" valign="top" class="summary">
<span class="summary-type"> </span>
</td><td class="summary">
- <a name="__has_rename_grp__"></a><span class="summary-name">__has_rename_grp__</span> = <code title="0">0</code>
+ <a name="__has_rename_grp__"></a><span class="summary-name">__has_rename_grp__</span> = <code title="1">1</code>
</td>
</tr>
<tr>
<td width="15%" align="right" valign="top" class="summary">
<span class="summary-type"> </span>
</td><td class="summary">
- <a name="__hdf5libversion__"></a><span class="summary-name">__hdf5libversion__</span> = <code title="'1.8.13'"><code class="variable-quote">'</code><code class="variable-string">1.8.13</code><code class="variable-quote">'</code></code>
+ <a name="__hdf5libversion__"></a><span class="summary-name">__hdf5libversion__</span> = <code title="'1.8.14'"><code class="variable-quote">'</code><code class="variable-string">1.8.14</code><code class="variable-quote">'</code></code>
</td>
</tr>
<tr>
@@ -1399,11 +1363,9 @@
time</b></code>' describing the time units. <b><code>time
units</code></b> can be days, hours, minutes, seconds,
milliseconds or microseconds. <b><code>reference time</code></b>
- is the time origin. Milliseconds and microseconds can only be
- used with the proleptic_gregorian calendar, or the standard and
- gregorian calendars if the time origin is after 1582-10-15. A
- valid choice would be units=<code>'milliseconds since 1800-01-01
- 00:00:00-6:00'</code>.</li>
+ is the time origin. Accuracy is somewhere between a millisecond
+ and a microsecond, depending on the time interval and the
+ calendar used.</li>
<li><strong class="pname"><code>calendar</code></strong> - describes the calendar used in the time calculations. All the
values currently defined in the <a
href="http://cf-pcmdi.llnl.gov/documents/cf-conventions/"
@@ -1447,11 +1409,9 @@
time</b></code>' describing the time units. <b><code>time
units</code></b> can be days, hours, minutes, seconds,
milliseconds or microseconds. <b><code>reference time</code></b>
- is the time origin. Milliseconds and microseconds can only be
- used with the proleptic_gregorian calendar, or the standard and
- gregorian calendars if the time origin is after 1582-10-15. A
- valid choice would be units=<code>'milliseconds since 1800-01-01
- 00:00:00-6:00'</code>.</li>
+ is the time origin. Accuracy is somewhere between a millisecond
+ and a microsecond, depending on the time interval and the
+ calendar used.</li>
<li><strong class="pname"><code>calendar</code></strong> - describes the calendar used in the time calculations. All the
values currently defined in the <a
href="http://cf-pcmdi.llnl.gov/documents/cf-conventions/"
@@ -1464,16 +1424,14 @@
<dt>Returns:</dt>
<dd>a datetime instance, or an array of datetime instances.
<p>The datetime instances returned are 'real' python datetime
- objects if the date falls in the Gregorian calendar (i.e.
- <code>calendar='proleptic_gregorian'</code>, or <code>calendar =
- 'standard'</code> or <code>'gregorian'</code> and the date is
- after 1582-10-15). Otherwise, they are 'phony' datetime objects
- which support some but not all the methods of 'real' python
- datetime objects. This is because the python datetime module
- cannot the uses the <code>'proleptic_gregorian'</code> calendar,
- even before the switch occured from the Julian calendar in 1582.
- The datetime instances do not contain a time-zone offset, even if
- the specified <code>units</code> contains one.</p></dd>
+ objects if <code>calendar='proleptic_gregorian'</code>, or
+ <code>calendar = 'standard'</code> or <code>'gregorian'</code>
+ and the date is after the breakpoint between the Julian and
+ Gregorian calendars (1582-10-15). Otherwise, they are 'phony'
+ datetime objects which support some but not all the methods of
+ 'real' python datetime objects. The datetime instances do not
+ contain a time-zone offset, even if the specified
+ <code>units</code> contains one.</p></dd>
</dl>
</td></tr></table>
</div>
@@ -1603,7 +1561,7 @@
<table border="0" cellpadding="0" cellspacing="0" width="100%%">
<tr>
<td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Fri Dec 5 15:19:53 2014
+ Generated by Epydoc 3.0.1 on Wed Mar 18 10:55:13 2015
</td>
<td align="right" class="footer">
<a target="mainFrame" href="http://epydoc.sourceforge.net"
diff --git a/docs/netCDF4.CompoundType-class.html b/docs/netCDF4.CompoundType-class.html
index 93b4a03..b0ead53 100644
--- a/docs/netCDF4.CompoundType-class.html
+++ b/docs/netCDF4.CompoundType-class.html
@@ -335,7 +335,7 @@ object --+
<table border="0" cellpadding="0" cellspacing="0" width="100%%">
<tr>
<td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Fri Dec 5 15:19:53 2014
+ Generated by Epydoc 3.0.1 on Wed Mar 18 10:55:13 2015
</td>
<td align="right" class="footer">
<a target="mainFrame" href="http://epydoc.sourceforge.net"
diff --git a/docs/netCDF4.Dataset-class.html b/docs/netCDF4.Dataset-class.html
index 18e3af2..e498a83 100644
--- a/docs/netCDF4.Dataset-class.html
+++ b/docs/netCDF4.Dataset-class.html
@@ -1676,7 +1676,7 @@ object --+
<table border="0" cellpadding="0" cellspacing="0" width="100%%">
<tr>
<td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Fri Dec 5 15:19:53 2014
+ Generated by Epydoc 3.0.1 on Wed Mar 18 10:55:13 2015
</td>
<td align="right" class="footer">
<a target="mainFrame" href="http://epydoc.sourceforge.net"
diff --git a/docs/netCDF4.Dimension-class.html b/docs/netCDF4.Dimension-class.html
index c8ab766..f71ba38 100644
--- a/docs/netCDF4.Dimension-class.html
+++ b/docs/netCDF4.Dimension-class.html
@@ -372,7 +372,7 @@ object --+
<table border="0" cellpadding="0" cellspacing="0" width="100%%">
<tr>
<td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Fri Dec 5 15:19:53 2014
+ Generated by Epydoc 3.0.1 on Wed Mar 18 10:55:13 2015
</td>
<td align="right" class="footer">
<a target="mainFrame" href="http://epydoc.sourceforge.net"
diff --git a/docs/netCDF4.Group-class.html b/docs/netCDF4.Group-class.html
index 546bfed..41122d8 100644
--- a/docs/netCDF4.Group-class.html
+++ b/docs/netCDF4.Group-class.html
@@ -364,7 +364,7 @@ object --+
<table border="0" cellpadding="0" cellspacing="0" width="100%%">
<tr>
<td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Fri Dec 5 15:19:53 2014
+ Generated by Epydoc 3.0.1 on Wed Mar 18 10:55:13 2015
</td>
<td align="right" class="footer">
<a target="mainFrame" href="http://epydoc.sourceforge.net"
diff --git a/docs/netCDF4.MFDataset-class.html b/docs/netCDF4.MFDataset-class.html
index 4b5bba3..119fc23 100644
--- a/docs/netCDF4.MFDataset-class.html
+++ b/docs/netCDF4.MFDataset-class.html
@@ -135,8 +135,8 @@ object --+
</td><td class="summary">
<table width="100%" cellpadding="0" cellspacing="0" border="0">
<tr>
- <td><span class="summary-sig"><a href="netCDF4.MFDataset-class.html#__setattr__" class="summary-sig-name">__setattr__</a>(<span class="summary-sig-arg">...</span>)</span><br />
- override base class attribute creation</td>
+ <td><span class="summary-sig"><a href="netCDF4.MFDataset-class.html#__repr__" class="summary-sig-name">__repr__</a>(<span class="summary-sig-arg">...</span>)</span><br />
+ repr(x)</td>
<td align="right" valign="top">
@@ -152,8 +152,8 @@ object --+
</td><td class="summary">
<table width="100%" cellpadding="0" cellspacing="0" border="0">
<tr>
- <td><span class="summary-sig"><a href="netCDF4.MFDataset-class.html#__str__" class="summary-sig-name">__str__</a>(<span class="summary-sig-arg">...</span>)</span><br />
- str(x)</td>
+ <td><span class="summary-sig"><a href="netCDF4.MFDataset-class.html#__setattr__" class="summary-sig-name">__setattr__</a>(<span class="summary-sig-arg">...</span>)</span><br />
+ override base class attribute creation</td>
<td align="right" valign="top">
@@ -207,7 +207,6 @@ object --+
<code><a href="netCDF4.Dataset-class.html#__exit__">__exit__</a></code>,
<code><a href="netCDF4.Dataset-class.html#__getattr__">__getattr__</a></code>,
<code><a href="netCDF4.Dataset-class.html#__new__">__new__</a></code>,
- <code><a href="netCDF4.Dataset-class.html#__repr__">__repr__</a></code>,
<code><a href="netCDF4.Dataset-class.html#__unicode__">__unicode__</a></code>,
<code><a href="netCDF4.Dataset-class.html#createCompoundType">createCompoundType</a></code>,
<code><a href="netCDF4.Dataset-class.html#createDimension">createDimension</a></code>,
@@ -236,6 +235,7 @@ object --+
<code>__reduce__</code>,
<code>__reduce_ex__</code>,
<code>__sizeof__</code>,
+ <code>__str__</code>,
<code>__subclasshook__</code>
</p>
</td>
@@ -384,48 +384,48 @@ object --+
</dl>
</td></tr></table>
</div>
-<a name="__setattr__"></a>
+<a name="__repr__"></a>
<div>
<table class="details" border="1" cellpadding="3"
cellspacing="0" width="100%" bgcolor="white">
<tr><td>
<table width="100%" cellpadding="0" cellspacing="0" border="0">
<tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__setattr__</span>(<span class="sig-arg">...</span>)</span>
+ <h3 class="epydoc"><span class="sig"><span class="sig-name">__repr__</span>(<span class="sig-arg">...</span>)</span>
+ <br /><em class="fname">(Representation operator)</em>
</h3>
</td><td align="right" valign="top"
>
</td>
</tr></table>
- <p>override base class attribute creation</p>
+ <p>repr(x)</p>
<dl class="fields">
<dt>Overrides:
- object.__setattr__
+ object.__repr__
+ <dd><em class="note">(inherited documentation)</em></dd>
</dt>
</dl>
</td></tr></table>
</div>
-<a name="__str__"></a>
+<a name="__setattr__"></a>
<div>
<table class="details" border="1" cellpadding="3"
cellspacing="0" width="100%" bgcolor="white">
<tr><td>
<table width="100%" cellpadding="0" cellspacing="0" border="0">
<tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__str__</span>(<span class="sig-arg">...</span>)</span>
- <br /><em class="fname">(Informal representation operator)</em>
+ <h3 class="epydoc"><span class="sig"><span class="sig-name">__setattr__</span>(<span class="sig-arg">...</span>)</span>
</h3>
</td><td align="right" valign="top"
>
</td>
</tr></table>
- <p>str(x)</p>
+ <p>override base class attribute creation</p>
<dl class="fields">
<dt>Overrides:
- object.__str__
- <dd><em class="note">(inherited documentation)</em></dd>
+ object.__setattr__
</dt>
</dl>
</td></tr></table>
@@ -505,7 +505,7 @@ object --+
<table border="0" cellpadding="0" cellspacing="0" width="100%%">
<tr>
<td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Fri Dec 5 15:19:53 2014
+ Generated by Epydoc 3.0.1 on Wed Mar 18 10:55:13 2015
</td>
<td align="right" class="footer">
<a target="mainFrame" href="http://epydoc.sourceforge.net"
diff --git a/docs/netCDF4.MFTime-class.html b/docs/netCDF4.MFTime-class.html
index 0499ea8..e01c9d8 100644
--- a/docs/netCDF4.MFTime-class.html
+++ b/docs/netCDF4.MFTime-class.html
@@ -140,7 +140,7 @@ object --+
<p class="indent-wrapped-lines"><b>Inherited from <code>_Variable</code></b>:
<code>__getattr__</code>,
<code>__len__</code>,
- <code>__str__</code>,
+ <code>__repr__</code>,
<code>ncattrs</code>,
<code>set_auto_maskandscale</code>,
<code>typecode</code>
@@ -153,9 +153,9 @@ object --+
<code>__new__</code>,
<code>__reduce__</code>,
<code>__reduce_ex__</code>,
- <code>__repr__</code>,
<code>__setattr__</code>,
<code>__sizeof__</code>,
+ <code>__str__</code>,
<code>__subclasshook__</code>
</p>
</td>
@@ -285,7 +285,7 @@ object --+
<table border="0" cellpadding="0" cellspacing="0" width="100%%">
<tr>
<td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Fri Dec 5 15:19:53 2014
+ Generated by Epydoc 3.0.1 on Wed Mar 18 10:55:13 2015
</td>
<td align="right" class="footer">
<a target="mainFrame" href="http://epydoc.sourceforge.net"
diff --git a/docs/netCDF4.VLType-class.html b/docs/netCDF4.VLType-class.html
index c16c116..a3a3b9d 100644
--- a/docs/netCDF4.VLType-class.html
+++ b/docs/netCDF4.VLType-class.html
@@ -322,7 +322,7 @@ object --+
<table border="0" cellpadding="0" cellspacing="0" width="100%%">
<tr>
<td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Fri Dec 5 15:19:53 2014
+ Generated by Epydoc 3.0.1 on Wed Mar 18 10:55:13 2015
</td>
<td align="right" class="footer">
<a target="mainFrame" href="http://epydoc.sourceforge.net"
diff --git a/docs/netCDF4.Variable-class.html b/docs/netCDF4.Variable-class.html
index ae3123e..f55bc33 100644
--- a/docs/netCDF4.Variable-class.html
+++ b/docs/netCDF4.Variable-class.html
@@ -1420,7 +1420,7 @@ object --+
<table border="0" cellpadding="0" cellspacing="0" width="100%%">
<tr>
<td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Fri Dec 5 15:19:53 2014
+ Generated by Epydoc 3.0.1 on Wed Mar 18 10:55:13 2015
</td>
<td align="right" class="footer">
<a target="mainFrame" href="http://epydoc.sourceforge.net"
diff --git a/docs/netcdftime.netcdftime-module.html b/docs/netcdftime.netcdftime-module.html
deleted file mode 100644
index 05d8d18..0000000
--- a/docs/netcdftime.netcdftime-module.html
+++ /dev/null
@@ -1,548 +0,0 @@
-<?xml version="1.0" encoding="ascii"?>
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
- "DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
-<head>
- <title>netcdftime.netcdftime</title>
- <link rel="stylesheet" href="epydoc.css" type="text/css" />
- <script type="text/javascript" src="epydoc.js"></script>
-</head>
-
-<body bgcolor="white" text="black" link="blue" vlink="#204080"
- alink="#204080">
-<!-- ==================== NAVIGATION BAR ==================== -->
-<table class="navbar" border="0" width="100%" cellpadding="0"
- bgcolor="#a0c0ff" cellspacing="0">
- <tr valign="middle">
-
- <!-- Tree link -->
- <th> <a
- href="module-tree.html">Trees</a> </th>
-
- <!-- Index link -->
- <th> <a
- href="identifier-index.html">Indices</a> </th>
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- href="help.html">Help</a> </th>
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- <span class="breadcrumbs">
- Package netcdftime ::
- Module netcdftime
- </span>
- </td>
- <td>
- <table cellpadding="0" cellspacing="0">
- <!-- hide/show private -->
- </table>
- </td>
- </tr>
-</table>
-<!-- ==================== MODULE DESCRIPTION ==================== -->
-<h1 class="epydoc">Module netcdftime</h1><p class="nomargin-top"><span class="codelink"><a href="netcdftime.netcdftime-pysrc.html">source code</a></span></p>
-<p>Performs conversions of netCDF time coordinate data to/from datetime
- objects.</p>
-
-<hr />
-<div class="fields"> <p><strong>Version:</strong>
- 0.9.2
- </p>
-</div><!-- ==================== CLASSES ==================== -->
-<a name="section-Classes"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Classes</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a href="netcdftime.netcdftime.datetime-class.html" class="summary-name">datetime</a><br />
- Phony datetime object which mimics the python datetime object, but
- allows for dates that don't exist in the proleptic gregorian
- calendar.
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a href="netcdftime.netcdftime.utime-class.html" class="summary-name">utime</a><br />
- Performs conversions of netCDF time coordinate data to/from
- datetime objects.
- </td>
- </tr>
-</table>
-<!-- ==================== FUNCTIONS ==================== -->
-<a name="section-Functions"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Functions</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netcdftime.netcdftime-module.html#DateFromJulianDay" class="summary-sig-name">DateFromJulianDay</a>(<span class="summary-sig-arg">JD</span>,
- <span class="summary-sig-arg">calendar</span>=<span class="summary-sig-default"><code class="variable-quote">'</code><code class="variable-string">standard</code><code class="variable-quote">'</code></span>)</span><br />
- returns a 'datetime-like' object given Julian Day.</td>
- <td align="right" valign="top">
- <span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#DateFromJulianDay">source code</a></span>
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netcdftime.netcdftime-module.html#JulianDayFromDate" class="summary-sig-name">JulianDayFromDate</a>(<span class="summary-sig-arg">date</span>,
- <span class="summary-sig-arg">calendar</span>=<span class="summary-sig-default"><code class="variable-quote">'</code><code class="variable-string">standard</code><code class="variable-quote">'</code></span>)</span><br />
- creates a Julian Day from a 'datetime-like' object.</td>
- <td align="right" valign="top">
- <span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#JulianDayFromDate">source code</a></span>
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netcdftime.netcdftime-module.html#date2index" class="summary-sig-name">date2index</a>(<span class="summary-sig-arg">dates</span>,
- <span class="summary-sig-arg">nctime</span>,
- <span class="summary-sig-arg">calendar</span>=<span class="summary-sig-default">None</span>,
- <span class="summary-sig-arg">select</span>=<span class="summary-sig-default">'exact'</span>)</span><br />
- Return indices of a netCDF time variable corresponding to the given
- dates.</td>
- <td align="right" valign="top">
- <span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#date2index">source code</a></span>
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netcdftime.netcdftime-module.html#date2num" class="summary-sig-name">date2num</a>(<span class="summary-sig-arg">dates</span>,
- <span class="summary-sig-arg">units</span>,
- <span class="summary-sig-arg">calendar</span>=<span class="summary-sig-default">'standard'</span>)</span><br />
- Return numeric time values given datetime objects.</td>
- <td align="right" valign="top">
- <span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#date2num">source code</a></span>
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netcdftime.netcdftime-module.html#num2date" class="summary-sig-name">num2date</a>(<span class="summary-sig-arg">times</span>,
- <span class="summary-sig-arg">units</span>,
- <span class="summary-sig-arg">calendar</span>=<span class="summary-sig-default">'standard'</span>)</span><br />
- Return datetime objects given numeric time values.</td>
- <td align="right" valign="top">
- <span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#num2date">source code</a></span>
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-</table>
-<!-- ==================== VARIABLES ==================== -->
-<a name="section-Variables"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Variables</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a href="netcdftime.netcdftime-module.html#ISO8601_REGEX" class="summary-name">ISO8601_REGEX</a> = <code title="re.compile(r'(?P<year>[0-9]{4})(-(?P<month>[0-9]{1,2})(-(?P<day>[0-9]{\
-1,2})((?P<separator>.)(?P<hour>[0-9]{2}):(?P<minute>[0-9]{2})(:(?P<sec\
-ond>[0-9]{2})(\.(?P<fraction>[0-9]+))?)?(?P<timezone>Z|(([-\+])([0-9]{\
-2}):([0-9]{2})))?)?)?)?')">re.compile(r'<code class="re-group">(?P<</code><code class="re-ref">year</code><code class="re-group">></code><code class="re-group">[</code>0<code class="re-op">-</code>9<code class="re-group">]</code><code class="re-op">{4}</code><code class="re-group">)</code><code class="re-group">(</code>-<code class="re-group">(?P<</code><code class="re-ref">month</code><code class="re-group">></code><code class="re-group">[</code>0<code class="re-op">-</code> [...]
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a href="netcdftime.netcdftime-module.html#TIMEZONE_REGEX" class="summary-name">TIMEZONE_REGEX</a> = <code title="re.compile(r'(?P<prefix>[\+-])(?P<hours>[0-9]{2}).(?P<minutes>[0-9]{2}\
-)')">re.compile(r'<code class="re-group">(?P<</code><code class="re-ref">prefix</code><code class="re-group">></code><code class="re-group">[</code>\+-<code class="re-group">]</code><code class="re-group">)</code><code class="re-group">(?P<</code><code class="re-ref">hours</code><code class="re-group">></code><code class="re-group">[</code>0<code class="re-op">-</code>9<code class="re-group">]</code><code class="variable-ellipsis">...</code></code>
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a name="__package__"></a><span class="summary-name">__package__</span> = <code title="'netcdftime'"><code class="variable-quote">'</code><code class="variable-string">netcdftime</code><code class="variable-quote">'</code></code>
- </td>
- </tr>
-</table>
-<!-- ==================== FUNCTION DETAILS ==================== -->
-<a name="section-FunctionDetails"></a>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Function Details</span></td>
-</tr>
-</table>
-<a name="DateFromJulianDay"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">DateFromJulianDay</span>(<span class="sig-arg">JD</span>,
- <span class="sig-arg">calendar</span>=<span class="sig-default"><code class="variable-quote">'</code><code class="variable-string">standard</code><code class="variable-quote">'</code></span>)</span>
- </h3>
- </td><td align="right" valign="top"
- ><span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#DateFromJulianDay">source code</a></span>
- </td>
- </tr></table>
-
- <p>returns a 'datetime-like' object given Julian Day. Julian Day is a
- fractional day with a resolution of 1 second.</p>
- <p>if calendar='standard' or 'gregorian' (default), Julian day follows
- Julian Calendar on and before 1582-10-5, Gregorian calendar after
- 1582-10-15.</p>
- <p>if calendar='proleptic_gregorian', Julian Day follows gregorian
- calendar.</p>
- <p>if calendar='julian', Julian Day follows julian calendar.</p>
- <p>The datetime object is a 'real' datetime object if the date falls in
- the Gregorian calendar (i.e. calendar='proleptic_gregorian', or calendar
- = 'standard'/'gregorian' and the date is after 1582-10-15). Otherwise,
- it's a 'phony' datetime object which is actually an instance of
- netcdftime.datetime.</p>
- <p>Algorithm:</p>
- <p>Meeus, Jean (1998) Astronomical Algorithms (2nd Edition).
- Willmann-Bell, Virginia. p. 63</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<a name="JulianDayFromDate"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">JulianDayFromDate</span>(<span class="sig-arg">date</span>,
- <span class="sig-arg">calendar</span>=<span class="sig-default"><code class="variable-quote">'</code><code class="variable-string">standard</code><code class="variable-quote">'</code></span>)</span>
- </h3>
- </td><td align="right" valign="top"
- ><span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#JulianDayFromDate">source code</a></span>
- </td>
- </tr></table>
-
- <p>creates a Julian Day from a 'datetime-like' object. Returns the
- fractional Julian Day (resolution 1 second).</p>
- <p>if calendar='standard' or 'gregorian' (default), Julian day follows
- Julian Calendar on and before 1582-10-5, Gregorian calendar after
- 1582-10-15.</p>
- <p>if calendar='proleptic_gregorian', Julian Day follows gregorian
- calendar.</p>
- <p>if calendar='julian', Julian Day follows julian calendar.</p>
- <p>Algorithm:</p>
- <p>Meeus, Jean (1998) Astronomical Algorithms (2nd Edition).
- Willmann-Bell, Virginia. p. 63</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<a name="date2index"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">date2index</span>(<span class="sig-arg">dates</span>,
- <span class="sig-arg">nctime</span>,
- <span class="sig-arg">calendar</span>=<span class="sig-default">None</span>,
- <span class="sig-arg">select</span>=<span class="sig-default">'exact'</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- ><span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#date2index">source code</a></span>
- </td>
- </tr></table>
-
- <p>Return indices of a netCDF time variable corresponding to the given
- dates.</p>
- <dl class="fields">
- <dt>Parameters:</dt>
- <dd><ul class="nomargin-top">
- <li><strong class="pname"><code>dates</code></strong> - A datetime object or a sequence of datetime objects. The datetime
- objects should not include a time-zone offset.</li>
- <li><strong class="pname"><code>nctime</code></strong> - A netCDF time variable object. The nctime object must have a
- <code>units</code> attribute. The entries are assumed to be
- stored in increasing order.</li>
- <li><strong class="pname"><code>calendar</code></strong> - Describes the calendar used in the time calculation. Valid
- calendars <code>'standard', 'gregorian', 'proleptic_gregorian'
- 'noleap', '365_day', '360_day', 'julian', 'all_leap',
- '366_day'</code>. Default is <code>'standard'</code>, which is a
- mixed Julian/Gregorian calendar If <code>calendar</code> is None,
- its value is given by <code>nctime.calendar</code> or
- <code>standard</code> if no such attribute exists.</li>
- <li><strong class="pname"><code>select</code></strong> - <code>'exact', 'before', 'after', 'nearest'</code> The index
- selection method. <code>exact</code> will return the indices
- perfectly matching the dates given. <code>before</code> and
- <code>after</code> will return the indices corresponding to the
- dates just before or just after the given dates if an exact match
- cannot be found. <code>nearest</code> will return the indices
- that correpond to the closest dates.</li>
- </ul></dd>
- </dl>
-</td></tr></table>
-</div>
-<a name="date2num"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">date2num</span>(<span class="sig-arg">dates</span>,
- <span class="sig-arg">units</span>,
- <span class="sig-arg">calendar</span>=<span class="sig-default">'standard'</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- ><span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#date2num">source code</a></span>
- </td>
- </tr></table>
-
- <p>Return numeric time values given datetime objects. The units of the
- numeric time values are described by the <code class="link">units</code>
- argument and the <code class="link">calendar</code> keyword. The datetime
- objects must be in UTC with no time-zone offset. If there is a time-zone
- offset in <code>units</code>, it will be applied to the returned numeric
- values.</p>
- <p>Like the matplotlib <code>date2num</code> function, except that it
- allows for different units and calendars. Behaves the same if
- <code>units = 'days since 0001-01-01 00:00:00'</code> and <code>calendar
- = 'proleptic_gregorian'</code>.</p>
- <dl class="fields">
- <dt>Parameters:</dt>
- <dd><ul class="nomargin-top">
- <li><strong class="pname"><code>dates</code></strong> - A datetime object or a sequence of datetime objects. The datetime
- objects should not include a time-zone offset.</li>
- <li><strong class="pname"><code>units</code></strong> - a string of the form <code>'<b>time units</b> since <b>reference
- time</b></code>' describing the time units. <b><code>time
- units</code></b> can be days, hours, minutes or seconds.
- <b><code>reference time</code></b> is the time origin. A valid
- choice would be units=<code>'hours since 1800-01-01 00:00:00
- -6:00'</code>.</li>
- <li><strong class="pname"><code>calendar</code></strong> - describes the calendar used in the time calculations. All the
- values currently defined in the <a
- href="http://cf-pcmdi.llnl.gov/documents/cf-conventions/"
- target="_top">CF metadata convention</a> are supported. Valid
- calendars <code>'standard', 'gregorian', 'proleptic_gregorian'
- 'noleap', '365_day', '360_day', 'julian', 'all_leap',
- '366_day'</code>. Default is <code>'standard'</code>, which is a
- mixed Julian/Gregorian calendar.</li>
- </ul></dd>
- <dt>Returns:</dt>
- <dd>a numeric time value, or an array of numeric time values.
- <p>The maximum resolution of the numeric time values is 1
- second.</p></dd>
- </dl>
-</td></tr></table>
-</div>
-<a name="num2date"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">num2date</span>(<span class="sig-arg">times</span>,
- <span class="sig-arg">units</span>,
- <span class="sig-arg">calendar</span>=<span class="sig-default">'standard'</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- ><span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#num2date">source code</a></span>
- </td>
- </tr></table>
-
- <p>Return datetime objects given numeric time values. The units of the
- numeric time values are described by the <code>units</code> argument and
- the <code>calendar</code> keyword. The returned datetime objects
- represent UTC with no time-zone offset, even if the specified
- <code>units</code> contain a time-zone offset.</p>
- <p>Like the matplotlib <code>num2date</code> function, except that it
- allows for different units and calendars. Behaves the same if
- <code>units = 'days since 001-01-01 00:00:00'</code> and <code>calendar =
- 'proleptic_gregorian'</code>.</p>
- <dl class="fields">
- <dt>Parameters:</dt>
- <dd><ul class="nomargin-top">
- <li><strong class="pname"><code>times</code></strong> - numeric time values. Maximum resolution is 1 second.</li>
- <li><strong class="pname"><code>units</code></strong> - a string of the form <code>'<b>time units</b> since <b>reference
- time</b></code>' describing the time units. <b><code>time
- units</code></b> can be days, hours, minutes or seconds.
- <b><code>reference time</code></b> is the time origin. A valid
- choice would be units=<code>'hours since 1800-01-01 00:00:00
- -6:00'</code>.</li>
- <li><strong class="pname"><code>calendar</code></strong> - describes the calendar used in the time calculations. All the
- values currently defined in the <a
- href="http://cf-pcmdi.llnl.gov/documents/cf-conventions/"
- target="_top">CF metadata convention</a> are supported. Valid
- calendars <code>'standard', 'gregorian', 'proleptic_gregorian'
- 'noleap', '365_day', '360_day', 'julian', 'all_leap',
- '366_day'</code>. Default is <code>'standard'</code>, which is a
- mixed Julian/Gregorian calendar.</li>
- </ul></dd>
- <dt>Returns:</dt>
- <dd>a datetime instance, or an array of datetime instances.
- <p>The datetime instances returned are 'real' python datetime
- objects if the date falls in the Gregorian calendar (i.e.
- <code>calendar='proleptic_gregorian'</code>, or <code>calendar =
- 'standard'</code> or <code>'gregorian'</code> and the date is
- after 1582-10-15). Otherwise, they are 'phony' datetime objects
- which support some but not all the methods of 'real' python
- datetime objects. This is because the python datetime module
- cannot the uses the <code>'proleptic_gregorian'</code> calendar,
- even before the switch occured from the Julian calendar in 1582.
- The datetime instances do not contain a time-zone offset, even if
- the specified <code>units</code> contains one.</p></dd>
- </dl>
-</td></tr></table>
-</div>
-<br />
-<!-- ==================== VARIABLES DETAILS ==================== -->
-<a name="section-VariablesDetails"></a>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Variables Details</span></td>
-</tr>
-</table>
-<a name="ISO8601_REGEX"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <h3 class="epydoc">ISO8601_REGEX</h3>
-
- <dl class="fields">
- </dl>
- <dl class="fields">
- <dt>Value:</dt>
- <dd><table><tr><td><pre class="variable">
-re.compile(r'<code class="re-group">(?P<</code><code class="re-ref">year</code><code class="re-group">></code><code class="re-group">[</code>0<code class="re-op">-</code>9<code class="re-group">]</code><code class="re-op">{4}</code><code class="re-group">)</code><code class="re-group">(</code>-<code class="re-group">(?P<</code><code class="re-ref">month</code><code class="re-group">></code><code class="re-group">[</code>0<code class="re-op">-</code>9<code class="re-group">]</ [...]
-<code class="re-op">1,2}</code><code class="re-group">)</code><code class="re-group">(</code><code class="re-group">(?P<</code><code class="re-ref">separator</code><code class="re-group">></code>.<code class="re-group">)</code><code class="re-group">(?P<</code><code class="re-ref">hour</code><code class="re-group">></code><code class="re-group">[</code>0<code class="re-op">-</code>9<code class="re-group">]</code><code class="re-op">{2}</code><code class="re-group">)</code>:<c [...]
-<code class="re-ref">ond</code><code class="re-group">></code><code class="re-group">[</code>0<code class="re-op">-</code>9<code class="re-group">]</code><code class="re-op">{2}</code><code class="re-group">)</code><code class="re-group">(</code>\.<code class="re-group">(?P<</code><code class="re-ref">fraction</code><code class="re-group">></code><code class="re-group">[</code>0<code class="re-op">-</code>9<code class="re-group">]</code><code class="re-op">+</code><code class="r [...]
-<code class="re-op">2}</code><code class="re-group">)</code>:<code class="re-group">(</code><code class="re-group">[</code>0<code class="re-op">-</code>9<code class="re-group">]</code><code class="re-op">{2}</code><code class="re-group">)</code><code class="re-group">)</code><code class="re-group">)</code><code class="re-op">?</code><code class="re-group">)</code><code class="re-op">?</code><code class="re-group">)</code><code class="re-op">?</code><code class="re-group">)</code><code cl [...]
-</pre></td></tr></table>
-</dd>
- </dl>
-</td></tr></table>
-</div>
-<a name="TIMEZONE_REGEX"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <h3 class="epydoc">TIMEZONE_REGEX</h3>
-
- <dl class="fields">
- </dl>
- <dl class="fields">
- <dt>Value:</dt>
- <dd><table><tr><td><pre class="variable">
-re.compile(r'<code class="re-group">(?P<</code><code class="re-ref">prefix</code><code class="re-group">></code><code class="re-group">[</code>\+-<code class="re-group">]</code><code class="re-group">)</code><code class="re-group">(?P<</code><code class="re-ref">hours</code><code class="re-group">></code><code class="re-group">[</code>0<code class="re-op">-</code>9<code class="re-group">]</code><code class="re-op">{2}</code><code class="re-group">)</code>.<code class="re-grou [...]
-<code class="re-group">)</code>')
-</pre></td></tr></table>
-</dd>
- </dl>
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- Package netcdftime ::
- Module netcdftime
- </span>
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- <table cellpadding="0" cellspacing="0">
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-</table>
-<h1 class="epydoc">Source Code for <a href="netcdftime.netcdftime-module.html">Module netcdftime.netcdftime</a></h1>
-<pre class="py-src">
-<a name="L1"></a><tt class="py-lineno"> 1</tt> <tt class="py-line"><tt class="py-docstring">"""</tt> </tt>
-<a name="L2"></a><tt class="py-lineno"> 2</tt> <tt class="py-line"><tt class="py-docstring">Performs conversions of netCDF time coordinate data to/from datetime objects.</tt> </tt>
-<a name="L3"></a><tt class="py-lineno"> 3</tt> <tt class="py-line"><tt class="py-docstring">"""</tt> </tt>
-<a name="L4"></a><tt class="py-lineno"> 4</tt> <tt class="py-line"><tt class="py-keyword">import</tt> <tt class="py-name">math</tt><tt class="py-op">,</tt> <tt class="py-name">numpy</tt><tt class="py-op">,</tt> <tt class="py-name">re</tt><tt class="py-op">,</tt> <tt class="py-name">time</tt> </tt>
-<a name="L5"></a><tt class="py-lineno"> 5</tt> <tt class="py-line"><tt class="py-keyword">from</tt> <tt id="link-0" class="py-name" targets="Class netcdftime.netcdftime.datetime=netcdftime.netcdftime.datetime-class.html"><a title="netcdftime.netcdftime.datetime" class="py-name" href="#" onclick="return doclink('link-0', 'datetime', 'link-0');">datetime</a></tt> <tt class="py-keyword">import</tt> <tt id="link-1" class="py-name"><a title="netcdftime.netcdftime.datetime" class="py-name" [...]
-<a name="L6"></a><tt class="py-lineno"> 6</tt> <tt class="py-line"><tt class="py-keyword">from</tt> <tt id="link-2" class="py-name"><a title="netcdftime.netcdftime.datetime" class="py-name" href="#" onclick="return doclink('link-2', 'datetime', 'link-0');">datetime</a></tt> <tt class="py-keyword">import</tt> <tt class="py-name">tzinfo</tt><tt class="py-op">,</tt> <tt class="py-name">timedelta</tt> </tt>
-<a name="L7"></a><tt class="py-lineno"> 7</tt> <tt class="py-line"> </tt>
-<a name="L8"></a><tt class="py-lineno"> 8</tt> <tt class="py-line"><tt id="link-3" class="py-name" targets="Variable netcdftime.netcdftime._units=netcdftime.netcdftime-module.html#_units"><a title="netcdftime.netcdftime._units" class="py-name" href="#" onclick="return doclink('link-3', '_units', 'link-3');">_units</a></tt> <tt class="py-op">=</tt> <tt class="py-op">[</tt><tt class="py-string">'days'</tt><tt class="py-op">,</tt><tt class="py-string">'hours'</tt><tt class="py-op">,</tt> [...]
-<a name="L9"></a><tt class="py-lineno"> 9</tt> <tt class="py-line"><tt id="link-4" class="py-name" targets="Variable netcdftime.netcdftime._calendars=netcdftime.netcdftime-module.html#_calendars"><a title="netcdftime.netcdftime._calendars" class="py-name" href="#" onclick="return doclink('link-4', '_calendars', 'link-4');">_calendars</a></tt> <tt class="py-op">=</tt> <tt class="py-op">[</tt><tt class="py-string">'standard'</tt><tt class="py-op">,</tt><tt class="py-string">'gregorian'< [...]
-<a name="L10"></a><tt class="py-lineno"> 10</tt> <tt class="py-line"> </tt>
-<a name="L11"></a><tt class="py-lineno"> 11</tt> <tt class="py-line"><tt class="py-name">__version__</tt> <tt class="py-op">=</tt> <tt class="py-string">'0.9.2'</tt> </tt>
-<a name="L12"></a><tt class="py-lineno"> 12</tt> <tt class="py-line"> </tt>
-<a name="L13"></a><tt class="py-lineno"> 13</tt> <tt class="py-line"><tt class="py-comment"># Adapted from http://delete.me.uk/2005/03/iso8601.html</tt> </tt>
-<a name="L14"></a><tt class="py-lineno"> 14</tt> <tt class="py-line"><tt id="link-5" class="py-name" targets="Variable netcdftime.netcdftime.ISO8601_REGEX=netcdftime.netcdftime-module.html#ISO8601_REGEX"><a title="netcdftime.netcdftime.ISO8601_REGEX" class="py-name" href="#" onclick="return doclink('link-5', 'ISO8601_REGEX', 'link-5');">ISO8601_REGEX</a></tt> <tt class="py-op">=</tt> <tt class="py-name">re</tt><tt class="py-op">.</tt><tt class="py-name">compile</tt><tt class="py-op">(< [...]
-<a name="L15"></a><tt class="py-lineno"> 15</tt> <tt class="py-line"> <tt class="py-string">r"((?P<separator>.)(?P<hour>[0-9]{2}):(?P<minute>[0-9]{2})(:(?P<second>[0-9]{2})(\.(?P<fraction>[0-9]+))?)?"</tt> </tt>
-<a name="L16"></a><tt class="py-lineno"> 16</tt> <tt class="py-line"> <tt class="py-string">r"(?P<timezone>Z|(([-+])([0-9]{2}):([0-9]{2})))?)?)?)?"</tt> </tt>
-<a name="L17"></a><tt class="py-lineno"> 17</tt> <tt class="py-line"><tt class="py-op">)</tt> </tt>
-<a name="L18"></a><tt class="py-lineno"> 18</tt> <tt class="py-line"><tt id="link-6" class="py-name" targets="Variable netcdftime.netcdftime.TIMEZONE_REGEX=netcdftime.netcdftime-module.html#TIMEZONE_REGEX"><a title="netcdftime.netcdftime.TIMEZONE_REGEX" class="py-name" href="#" onclick="return doclink('link-6', 'TIMEZONE_REGEX', 'link-6');">TIMEZONE_REGEX</a></tt> <tt class="py-op">=</tt> <tt class="py-name">re</tt><tt class="py-op">.</tt><tt class="py-name">compile</tt><tt class="py-o [...]
-<a name="L19"></a><tt class="py-lineno"> 19</tt> <tt class="py-line"> </tt>
-<a name="datetime"></a><div id="datetime-def"><a name="L20"></a><tt class="py-lineno"> 20</tt> <a class="py-toggle" href="#" id="datetime-toggle" onclick="return toggle('datetime');">-</a><tt class="py-line"><tt class="py-keyword">class</tt> <a class="py-def-name" href="netcdftime.netcdftime.datetime-class.html">datetime</a><tt class="py-op">:</tt> </tt>
-</div><div id="datetime-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="datetime-expanded"><a name="L21"></a><tt class="py-lineno"> 21</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L22"></a><tt class="py-lineno"> 22</tt> <tt class="py-line"><tt class="py-docstring">Phony datetime object which mimics the python datetime object,</tt> </tt>
-<a name="L23"></a><tt class="py-lineno"> 23</tt> <tt class="py-line"><tt class="py-docstring">but allows for dates that don't exist in the proleptic gregorian calendar.</tt> </tt>
-<a name="L24"></a><tt class="py-lineno"> 24</tt> <tt class="py-line"><tt class="py-docstring">Doesn't do timedelta operations, doesn't overload + and -.</tt> </tt>
-<a name="L25"></a><tt class="py-lineno"> 25</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L26"></a><tt class="py-lineno"> 26</tt> <tt class="py-line"><tt class="py-docstring">Has strftime, timetuple and __repr__ methods. The format</tt> </tt>
-<a name="L27"></a><tt class="py-lineno"> 27</tt> <tt class="py-line"><tt class="py-docstring">of the string produced by __repr__ is controlled by self.format</tt> </tt>
-<a name="L28"></a><tt class="py-lineno"> 28</tt> <tt class="py-line"><tt class="py-docstring">(default %Y-%m-%d %H:%M:%S).</tt> </tt>
-<a name="L29"></a><tt class="py-lineno"> 29</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L30"></a><tt class="py-lineno"> 30</tt> <tt class="py-line"><tt class="py-docstring">Instance variables are year,month,day,hour,minute,second,dayofwk,dayofyr</tt> </tt>
-<a name="L31"></a><tt class="py-lineno"> 31</tt> <tt class="py-line"><tt class="py-docstring">and format.</tt> </tt>
-<a name="L32"></a><tt class="py-lineno"> 32</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="datetime.__init__"></a><div id="datetime.__init__-def"><a name="L33"></a><tt class="py-lineno"> 33</tt> <a class="py-toggle" href="#" id="datetime.__init__-toggle" onclick="return toggle('datetime.__init__');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime.datetime-class.html#__init__">__init__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt><tt class="py-param">year</tt><tt class= [...]
-</div><div id="datetime.__init__-collapsed" style="display:none;" pad="++++" indent="++++++++"></div><div id="datetime.__init__-expanded"><a name="L34"></a><tt class="py-lineno"> 34</tt> <tt class="py-line"> <tt class="py-docstring">"""dayofyr set to 1 by default - otherwise time.strftime will complain"""</tt> </tt>
-<a name="L35"></a><tt class="py-lineno"> 35</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">year</tt><tt class="py-op">=</tt><tt class="py-name">year</tt> </tt>
-<a name="L36"></a><tt class="py-lineno"> 36</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">month</tt><tt class="py-op">=</tt><tt class="py-name">month</tt> </tt>
-<a name="L37"></a><tt class="py-lineno"> 37</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">day</tt><tt class="py-op">=</tt><tt class="py-name">day</tt> </tt>
-<a name="L38"></a><tt class="py-lineno"> 38</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">hour</tt><tt class="py-op">=</tt><tt class="py-name">hour</tt> </tt>
-<a name="L39"></a><tt class="py-lineno"> 39</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">minute</tt><tt class="py-op">=</tt><tt class="py-name">minute</tt> </tt>
-<a name="L40"></a><tt class="py-lineno"> 40</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">dayofwk</tt><tt class="py-op">=</tt><tt class="py-name">dayofwk</tt> </tt>
-<a name="L41"></a><tt class="py-lineno"> 41</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">dayofyr</tt><tt class="py-op">=</tt><tt class="py-name">dayofyr</tt> </tt>
-<a name="L42"></a><tt class="py-lineno"> 42</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">second</tt><tt class="py-op">=</tt><tt class="py-name">second</tt> </tt>
-<a name="L43"></a><tt class="py-lineno"> 43</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">format</tt><tt class="py-op">=</tt><tt class="py-string">'%Y-%m-%d %H:%M:%S'</tt> </tt>
-</div><a name="datetime.strftime"></a><div id="datetime.strftime-def"><a name="L44"></a><tt class="py-lineno"> 44</tt> <a class="py-toggle" href="#" id="datetime.strftime-toggle" onclick="return toggle('datetime.strftime');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime.datetime-class.html#strftime">strftime</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt><tt class="py-param">format</tt><t [...]
-</div><div id="datetime.strftime-collapsed" style="display:none;" pad="++++" indent="++++++++"></div><div id="datetime.strftime-expanded"><a name="L45"></a><tt class="py-lineno"> 45</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">format</tt> <tt class="py-keyword">is</tt> <tt class="py-name">None</tt><tt class="py-op">:</tt> </tt>
-<a name="L46"></a><tt class="py-lineno"> 46</tt> <tt class="py-line"> <tt class="py-name">format</tt> <tt class="py-op">=</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">format</tt> </tt>
-<a name="L47"></a><tt class="py-lineno"> 47</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">_strftime</tt><tt class="py-op">(</tt><tt class="py-name">self</tt><tt class="py-op">,</tt><tt class="py-name">format</tt><tt class="py-op">)</tt> </tt>
-</div><a name="datetime.timetuple"></a><div id="datetime.timetuple-def"><a name="L48"></a><tt class="py-lineno"> 48</tt> <a class="py-toggle" href="#" id="datetime.timetuple-toggle" onclick="return toggle('datetime.timetuple');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime.datetime-class.html#timetuple">timetuple</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-</div><div id="datetime.timetuple-collapsed" style="display:none;" pad="++++" indent="++++++++"></div><div id="datetime.timetuple-expanded"><a name="L49"></a><tt class="py-lineno"> 49</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-op">(</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">year</tt><tt class="py-op">,</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">month</tt><tt class="py-op">,</tt>< [...]
-</div><a name="datetime.__repr__"></a><div id="datetime.__repr__-def"><a name="L50"></a><tt class="py-lineno"> 50</tt> <a class="py-toggle" href="#" id="datetime.__repr__-toggle" onclick="return toggle('datetime.__repr__');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime.datetime-class.html#__repr__">__repr__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-</div><div id="datetime.__repr__-collapsed" style="display:none;" pad="++++" indent="++++++++"></div><div id="datetime.__repr__-expanded"><a name="L51"></a><tt class="py-lineno"> 51</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-7" class="py-name" targets="Method netcdftime.netcdftime.datetime.strftime()=netcdftime.netcdftime.datetime-class.html#strftime"><a title="netcdftime.netcdftime.datetime.strf [...]
-</div></div><a name="L52"></a><tt class="py-lineno"> 52</tt> <tt class="py-line"> </tt>
-<a name="JulianDayFromDate"></a><div id="JulianDayFromDate-def"><a name="L53"></a><tt class="py-lineno"> 53</tt> <a class="py-toggle" href="#" id="JulianDayFromDate-toggle" onclick="return toggle('JulianDayFromDate');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#JulianDayFromDate">JulianDayFromDate</a><tt class="py-op">(</tt><tt class="py-param">date</tt><tt class="py-op">,</tt><tt class="py-param">calendar</tt> [...]
-</div><div id="JulianDayFromDate-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="JulianDayFromDate-expanded"><a name="L54"></a><tt class="py-lineno"> 54</tt> <tt class="py-line"> </tt>
-<a name="L55"></a><tt class="py-lineno"> 55</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L56"></a><tt class="py-lineno"> 56</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L57"></a><tt class="py-lineno"> 57</tt> <tt class="py-line"><tt class="py-docstring">creates a Julian Day from a 'datetime-like' object. Returns the fractional</tt> </tt>
-<a name="L58"></a><tt class="py-lineno"> 58</tt> <tt class="py-line"><tt class="py-docstring">Julian Day (resolution 1 second).</tt> </tt>
-<a name="L59"></a><tt class="py-lineno"> 59</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L60"></a><tt class="py-lineno"> 60</tt> <tt class="py-line"><tt class="py-docstring">if calendar='standard' or 'gregorian' (default), Julian day follows Julian </tt> </tt>
-<a name="L61"></a><tt class="py-lineno"> 61</tt> <tt class="py-line"><tt class="py-docstring">Calendar on and before 1582-10-5, Gregorian calendar after 1582-10-15.</tt> </tt>
-<a name="L62"></a><tt class="py-lineno"> 62</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L63"></a><tt class="py-lineno"> 63</tt> <tt class="py-line"><tt class="py-docstring">if calendar='proleptic_gregorian', Julian Day follows gregorian calendar.</tt> </tt>
-<a name="L64"></a><tt class="py-lineno"> 64</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L65"></a><tt class="py-lineno"> 65</tt> <tt class="py-line"><tt class="py-docstring">if calendar='julian', Julian Day follows julian calendar.</tt> </tt>
-<a name="L66"></a><tt class="py-lineno"> 66</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L67"></a><tt class="py-lineno"> 67</tt> <tt class="py-line"><tt class="py-docstring">Algorithm:</tt> </tt>
-<a name="L68"></a><tt class="py-lineno"> 68</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L69"></a><tt class="py-lineno"> 69</tt> <tt class="py-line"><tt class="py-docstring">Meeus, Jean (1998) Astronomical Algorithms (2nd Edition). Willmann-Bell,</tt> </tt>
-<a name="L70"></a><tt class="py-lineno"> 70</tt> <tt class="py-line"><tt class="py-docstring">Virginia. p. 63</tt> </tt>
-<a name="L71"></a><tt class="py-lineno"> 71</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L72"></a><tt class="py-lineno"> 72</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L73"></a><tt class="py-lineno"> 73</tt> <tt class="py-line"> </tt>
-<a name="L74"></a><tt class="py-lineno"> 74</tt> <tt class="py-line"> <tt class="py-comment"># based on redate.py by David Finlayson.</tt> </tt>
-<a name="L75"></a><tt class="py-lineno"> 75</tt> <tt class="py-line"> </tt>
-<a name="L76"></a><tt class="py-lineno"> 76</tt> <tt class="py-line"> <tt class="py-name">year</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">year</tt><tt class="py-op">;</tt> <tt class="py-name">month</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">month</tt><tt class="py-op">;</tt> <tt class="py-name">day</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py- [...]
-<a name="L77"></a><tt class="py-lineno"> 77</tt> <tt class="py-line"> <tt class="py-name">hour</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">hour</tt><tt class="py-op">;</tt> <tt class="py-name">minute</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">minute</tt><tt class="py-op">;</tt> <tt class="py-name">second</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class [...]
-<a name="L78"></a><tt class="py-lineno"> 78</tt> <tt class="py-line"> <tt class="py-comment"># Convert time to fractions of a day</tt> </tt>
-<a name="L79"></a><tt class="py-lineno"> 79</tt> <tt class="py-line"> <tt class="py-name">day</tt> <tt class="py-op">=</tt> <tt class="py-name">day</tt> <tt class="py-op">+</tt> <tt class="py-name">hour</tt><tt class="py-op">/</tt><tt class="py-number">24.0</tt> <tt class="py-op">+</tt> <tt class="py-name">minute</tt><tt class="py-op">/</tt><tt class="py-number">1440.0</tt> <tt class="py-op">+</tt> <tt class="py-name">second</tt><tt class="py-op">/</tt><tt class="py-number">86400.0< [...]
-<a name="L80"></a><tt class="py-lineno"> 80</tt> <tt class="py-line"> </tt>
-<a name="L81"></a><tt class="py-lineno"> 81</tt> <tt class="py-line"> <tt class="py-comment"># Start Meeus algorithm (variables are in his notation)</tt> </tt>
-<a name="L82"></a><tt class="py-lineno"> 82</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-op">(</tt><tt class="py-name">month</tt> <tt class="py-op"><</tt> <tt class="py-number">3</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-<a name="L83"></a><tt class="py-lineno"> 83</tt> <tt class="py-line"> <tt class="py-name">month</tt> <tt class="py-op">=</tt> <tt class="py-name">month</tt> <tt class="py-op">+</tt> <tt class="py-number">12</tt> </tt>
-<a name="L84"></a><tt class="py-lineno"> 84</tt> <tt class="py-line"> <tt class="py-name">year</tt> <tt class="py-op">=</tt> <tt class="py-name">year</tt> <tt class="py-op">-</tt> <tt class="py-number">1</tt> </tt>
-<a name="L85"></a><tt class="py-lineno"> 85</tt> <tt class="py-line"> </tt>
-<a name="L86"></a><tt class="py-lineno"> 86</tt> <tt class="py-line"> <tt class="py-name">A</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">year</tt><tt class="py-op">/</tt><tt class="py-number">100</tt><tt class="py-op">)</tt> </tt>
-<a name="L87"></a><tt class="py-lineno"> 87</tt> <tt class="py-line"> </tt>
-<a name="L88"></a><tt class="py-lineno"> 88</tt> <tt class="py-line"> <tt class="py-name">jd</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-number">365.25</tt> <tt class="py-op">*</tt> <tt class="py-op">(</tt><tt class="py-name">year</tt> <tt class="py-op">+</tt> <tt class="py-number">4716</tt><tt class="py-op">)</tt><tt class="py-op">)</tt> <tt class="py-op">+</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-num [...]
-<a name="L89"></a><tt class="py-lineno"> 89</tt> <tt class="py-line"> <tt class="py-name">day</tt> <tt class="py-op">-</tt> <tt class="py-number">1524.5</tt> </tt>
-<a name="L90"></a><tt class="py-lineno"> 90</tt> <tt class="py-line"> </tt>
-<a name="L91"></a><tt class="py-lineno"> 91</tt> <tt class="py-line"> <tt class="py-comment"># optionally adjust the jd for the switch from </tt> </tt>
-<a name="L92"></a><tt class="py-lineno"> 92</tt> <tt class="py-line"> <tt class="py-comment"># the Julian to Gregorian Calendar</tt> </tt>
-<a name="L93"></a><tt class="py-lineno"> 93</tt> <tt class="py-line"> <tt class="py-comment"># here assumed to have occurred the day after 1582 October 4</tt> </tt>
-<a name="L94"></a><tt class="py-lineno"> 94</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">calendar</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'standard'</tt><tt class="py-op">,</tt><tt class="py-string">'gregorian'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L95"></a><tt class="py-lineno"> 95</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">jd</tt> <tt class="py-op">>=</tt> <tt class="py-number">2299170.5</tt><tt class="py-op">:</tt> </tt>
-<a name="L96"></a><tt class="py-lineno"> 96</tt> <tt class="py-line"> <tt class="py-comment"># 1582 October 15 (Gregorian Calendar)</tt> </tt>
-<a name="L97"></a><tt class="py-lineno"> 97</tt> <tt class="py-line"> <tt class="py-name">B</tt> <tt class="py-op">=</tt> <tt class="py-number">2</tt> <tt class="py-op">-</tt> <tt class="py-name">A</tt> <tt class="py-op">+</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">A</tt><tt class="py-op">/</tt><tt class="py-number">4</tt><tt class="py-op">)</tt> </tt>
-<a name="L98"></a><tt class="py-lineno"> 98</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">jd</tt> <tt class="py-op"><</tt> <tt class="py-number">2299160.5</tt><tt class="py-op">:</tt> </tt>
-<a name="L99"></a><tt class="py-lineno"> 99</tt> <tt class="py-line"> <tt class="py-comment"># 1582 October 5 (Julian Calendar)</tt> </tt>
-<a name="L100"></a><tt class="py-lineno"> 100</tt> <tt class="py-line"> <tt class="py-name">B</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L101"></a><tt class="py-lineno"> 101</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L102"></a><tt class="py-lineno"> 102</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">'impossible date (falls in gap between end of Julian calendar and beginning of Gregorian calendar'</tt> </tt>
-<a name="L103"></a><tt class="py-lineno"> 103</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">calendar</tt> <tt class="py-op">==</tt> <tt class="py-string">'proleptic_gregorian'</tt><tt class="py-op">:</tt> </tt>
-<a name="L104"></a><tt class="py-lineno"> 104</tt> <tt class="py-line"> <tt class="py-name">B</tt> <tt class="py-op">=</tt> <tt class="py-number">2</tt> <tt class="py-op">-</tt> <tt class="py-name">A</tt> <tt class="py-op">+</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">A</tt><tt class="py-op">/</tt><tt class="py-number">4</tt><tt class="py-op">)</tt> </tt>
-<a name="L105"></a><tt class="py-lineno"> 105</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">calendar</tt> <tt class="py-op">==</tt> <tt class="py-string">'julian'</tt><tt class="py-op">:</tt> </tt>
-<a name="L106"></a><tt class="py-lineno"> 106</tt> <tt class="py-line"> <tt class="py-name">B</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L107"></a><tt class="py-lineno"> 107</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L108"></a><tt class="py-lineno"> 108</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">'unknown calendar, must be one of julian,standard,gregorian,proleptic_gregorian, got %s'</tt> <tt class="py-op">%</tt> <tt class="py-name">calendar</tt> </tt>
-<a name="L109"></a><tt class="py-lineno"> 109</tt> <tt class="py-line"> </tt>
-<a name="L110"></a><tt class="py-lineno"> 110</tt> <tt class="py-line"> <tt class="py-comment"># adjust for Julian calendar if necessary</tt> </tt>
-<a name="L111"></a><tt class="py-lineno"> 111</tt> <tt class="py-line"> <tt class="py-name">jd</tt> <tt class="py-op">=</tt> <tt class="py-name">jd</tt> <tt class="py-op">+</tt> <tt class="py-name">B</tt> </tt>
-<a name="L112"></a><tt class="py-lineno"> 112</tt> <tt class="py-line"> </tt>
-<a name="L113"></a><tt class="py-lineno"> 113</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">jd</tt> </tt>
-</div><a name="L114"></a><tt class="py-lineno"> 114</tt> <tt class="py-line"> </tt>
-<a name="_NoLeapDayFromDate"></a><div id="_NoLeapDayFromDate-def"><a name="L115"></a><tt class="py-lineno"> 115</tt> <a class="py-toggle" href="#" id="_NoLeapDayFromDate-toggle" onclick="return toggle('_NoLeapDayFromDate');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#_NoLeapDayFromDate">_NoLeapDayFromDate</a><tt class="py-op">(</tt><tt class="py-param">date</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-</div><div id="_NoLeapDayFromDate-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="_NoLeapDayFromDate-expanded"><a name="L116"></a><tt class="py-lineno"> 116</tt> <tt class="py-line"> </tt>
-<a name="L117"></a><tt class="py-lineno"> 117</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L118"></a><tt class="py-lineno"> 118</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L119"></a><tt class="py-lineno"> 119</tt> <tt class="py-line"><tt class="py-docstring">creates a Julian Day for a calendar with no leap years from a datetime </tt> </tt>
-<a name="L120"></a><tt class="py-lineno"> 120</tt> <tt class="py-line"><tt class="py-docstring">instance. Returns the fractional Julian Day (resolution 1 second).</tt> </tt>
-<a name="L121"></a><tt class="py-lineno"> 121</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L122"></a><tt class="py-lineno"> 122</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L123"></a><tt class="py-lineno"> 123</tt> <tt class="py-line"> </tt>
-<a name="L124"></a><tt class="py-lineno"> 124</tt> <tt class="py-line"> <tt class="py-name">year</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">year</tt><tt class="py-op">;</tt> <tt class="py-name">month</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">month</tt><tt class="py-op">;</tt> <tt class="py-name">day</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py [...]
-<a name="L125"></a><tt class="py-lineno"> 125</tt> <tt class="py-line"> <tt class="py-name">hour</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">hour</tt><tt class="py-op">;</tt> <tt class="py-name">minute</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">minute</tt><tt class="py-op">;</tt> <tt class="py-name">second</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt clas [...]
-<a name="L126"></a><tt class="py-lineno"> 126</tt> <tt class="py-line"> <tt class="py-comment"># Convert time to fractions of a day</tt> </tt>
-<a name="L127"></a><tt class="py-lineno"> 127</tt> <tt class="py-line"> <tt class="py-name">day</tt> <tt class="py-op">=</tt> <tt class="py-name">day</tt> <tt class="py-op">+</tt> <tt class="py-name">hour</tt><tt class="py-op">/</tt><tt class="py-number">24.0</tt> <tt class="py-op">+</tt> <tt class="py-name">minute</tt><tt class="py-op">/</tt><tt class="py-number">1440.0</tt> <tt class="py-op">+</tt> <tt class="py-name">second</tt><tt class="py-op">/</tt><tt class="py-number">86400.0 [...]
-<a name="L128"></a><tt class="py-lineno"> 128</tt> <tt class="py-line"> </tt>
-<a name="L129"></a><tt class="py-lineno"> 129</tt> <tt class="py-line"> <tt class="py-comment"># Start Meeus algorithm (variables are in his notation)</tt> </tt>
-<a name="L130"></a><tt class="py-lineno"> 130</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-op">(</tt><tt class="py-name">month</tt> <tt class="py-op"><</tt> <tt class="py-number">3</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-<a name="L131"></a><tt class="py-lineno"> 131</tt> <tt class="py-line"> <tt class="py-name">month</tt> <tt class="py-op">=</tt> <tt class="py-name">month</tt> <tt class="py-op">+</tt> <tt class="py-number">12</tt> </tt>
-<a name="L132"></a><tt class="py-lineno"> 132</tt> <tt class="py-line"> <tt class="py-name">year</tt> <tt class="py-op">=</tt> <tt class="py-name">year</tt> <tt class="py-op">-</tt> <tt class="py-number">1</tt> </tt>
-<a name="L133"></a><tt class="py-lineno"> 133</tt> <tt class="py-line"> </tt>
-<a name="L134"></a><tt class="py-lineno"> 134</tt> <tt class="py-line"> <tt class="py-name">jd</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-number">365.</tt> <tt class="py-op">*</tt> <tt class="py-op">(</tt><tt class="py-name">year</tt> <tt class="py-op">+</tt> <tt class="py-number">4716</tt><tt class="py-op">)</tt><tt class="py-op">)</tt> <tt class="py-op">+</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-numb [...]
-<a name="L135"></a><tt class="py-lineno"> 135</tt> <tt class="py-line"> <tt class="py-name">day</tt> <tt class="py-op">-</tt> <tt class="py-number">1524.5</tt> </tt>
-<a name="L136"></a><tt class="py-lineno"> 136</tt> <tt class="py-line"> </tt>
-<a name="L137"></a><tt class="py-lineno"> 137</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">jd</tt> </tt>
-</div><a name="L138"></a><tt class="py-lineno"> 138</tt> <tt class="py-line"> </tt>
-<a name="_AllLeapFromDate"></a><div id="_AllLeapFromDate-def"><a name="L139"></a><tt class="py-lineno"> 139</tt> <a class="py-toggle" href="#" id="_AllLeapFromDate-toggle" onclick="return toggle('_AllLeapFromDate');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#_AllLeapFromDate">_AllLeapFromDate</a><tt class="py-op">(</tt><tt class="py-param">date</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-</div><div id="_AllLeapFromDate-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="_AllLeapFromDate-expanded"><a name="L140"></a><tt class="py-lineno"> 140</tt> <tt class="py-line"> </tt>
-<a name="L141"></a><tt class="py-lineno"> 141</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L142"></a><tt class="py-lineno"> 142</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L143"></a><tt class="py-lineno"> 143</tt> <tt class="py-line"><tt class="py-docstring">creates a Julian Day for a calendar where all years have 366 days from</tt> </tt>
-<a name="L144"></a><tt class="py-lineno"> 144</tt> <tt class="py-line"><tt class="py-docstring">a 'datetime-like' object.</tt> </tt>
-<a name="L145"></a><tt class="py-lineno"> 145</tt> <tt class="py-line"><tt class="py-docstring">Returns the fractional Julian Day (resolution 1 second).</tt> </tt>
-<a name="L146"></a><tt class="py-lineno"> 146</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L147"></a><tt class="py-lineno"> 147</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L148"></a><tt class="py-lineno"> 148</tt> <tt class="py-line"> </tt>
-<a name="L149"></a><tt class="py-lineno"> 149</tt> <tt class="py-line"> <tt class="py-name">year</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">year</tt><tt class="py-op">;</tt> <tt class="py-name">month</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">month</tt><tt class="py-op">;</tt> <tt class="py-name">day</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py [...]
-<a name="L150"></a><tt class="py-lineno"> 150</tt> <tt class="py-line"> <tt class="py-name">hour</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">hour</tt><tt class="py-op">;</tt> <tt class="py-name">minute</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">minute</tt><tt class="py-op">;</tt> <tt class="py-name">second</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt clas [...]
-<a name="L151"></a><tt class="py-lineno"> 151</tt> <tt class="py-line"> <tt class="py-comment"># Convert time to fractions of a day</tt> </tt>
-<a name="L152"></a><tt class="py-lineno"> 152</tt> <tt class="py-line"> <tt class="py-name">day</tt> <tt class="py-op">=</tt> <tt class="py-name">day</tt> <tt class="py-op">+</tt> <tt class="py-name">hour</tt><tt class="py-op">/</tt><tt class="py-number">24.0</tt> <tt class="py-op">+</tt> <tt class="py-name">minute</tt><tt class="py-op">/</tt><tt class="py-number">1440.0</tt> <tt class="py-op">+</tt> <tt class="py-name">second</tt><tt class="py-op">/</tt><tt class="py-number">86400.0 [...]
-<a name="L153"></a><tt class="py-lineno"> 153</tt> <tt class="py-line"> </tt>
-<a name="L154"></a><tt class="py-lineno"> 154</tt> <tt class="py-line"> <tt class="py-comment"># Start Meeus algorithm (variables are in his notation)</tt> </tt>
-<a name="L155"></a><tt class="py-lineno"> 155</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-op">(</tt><tt class="py-name">month</tt> <tt class="py-op"><</tt> <tt class="py-number">3</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-<a name="L156"></a><tt class="py-lineno"> 156</tt> <tt class="py-line"> <tt class="py-name">month</tt> <tt class="py-op">=</tt> <tt class="py-name">month</tt> <tt class="py-op">+</tt> <tt class="py-number">12</tt> </tt>
-<a name="L157"></a><tt class="py-lineno"> 157</tt> <tt class="py-line"> <tt class="py-name">year</tt> <tt class="py-op">=</tt> <tt class="py-name">year</tt> <tt class="py-op">-</tt> <tt class="py-number">1</tt> </tt>
-<a name="L158"></a><tt class="py-lineno"> 158</tt> <tt class="py-line"> </tt>
-<a name="L159"></a><tt class="py-lineno"> 159</tt> <tt class="py-line"> <tt class="py-name">jd</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-number">366.</tt> <tt class="py-op">*</tt> <tt class="py-op">(</tt><tt class="py-name">year</tt> <tt class="py-op">+</tt> <tt class="py-number">4716</tt><tt class="py-op">)</tt><tt class="py-op">)</tt> <tt class="py-op">+</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-numb [...]
-<a name="L160"></a><tt class="py-lineno"> 160</tt> <tt class="py-line"> <tt class="py-name">day</tt> <tt class="py-op">-</tt> <tt class="py-number">1524.5</tt> </tt>
-<a name="L161"></a><tt class="py-lineno"> 161</tt> <tt class="py-line"> </tt>
-<a name="L162"></a><tt class="py-lineno"> 162</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">jd</tt> </tt>
-</div><a name="L163"></a><tt class="py-lineno"> 163</tt> <tt class="py-line"> </tt>
-<a name="_360DayFromDate"></a><div id="_360DayFromDate-def"><a name="L164"></a><tt class="py-lineno"> 164</tt> <a class="py-toggle" href="#" id="_360DayFromDate-toggle" onclick="return toggle('_360DayFromDate');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#_360DayFromDate">_360DayFromDate</a><tt class="py-op">(</tt><tt class="py-param">date</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-</div><div id="_360DayFromDate-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="_360DayFromDate-expanded"><a name="L165"></a><tt class="py-lineno"> 165</tt> <tt class="py-line"> </tt>
-<a name="L166"></a><tt class="py-lineno"> 166</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L167"></a><tt class="py-lineno"> 167</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L168"></a><tt class="py-lineno"> 168</tt> <tt class="py-line"><tt class="py-docstring">creates a Julian Day for a calendar where all months have 30 daysfrom</tt> </tt>
-<a name="L169"></a><tt class="py-lineno"> 169</tt> <tt class="py-line"><tt class="py-docstring">a 'datetime-like' object.</tt> </tt>
-<a name="L170"></a><tt class="py-lineno"> 170</tt> <tt class="py-line"><tt class="py-docstring">Returns the fractional Julian Day (resolution 1 second).</tt> </tt>
-<a name="L171"></a><tt class="py-lineno"> 171</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L172"></a><tt class="py-lineno"> 172</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L173"></a><tt class="py-lineno"> 173</tt> <tt class="py-line"> </tt>
-<a name="L174"></a><tt class="py-lineno"> 174</tt> <tt class="py-line"> <tt class="py-name">year</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">year</tt><tt class="py-op">;</tt> <tt class="py-name">month</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">month</tt><tt class="py-op">;</tt> <tt class="py-name">day</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py [...]
-<a name="L175"></a><tt class="py-lineno"> 175</tt> <tt class="py-line"> <tt class="py-name">hour</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">hour</tt><tt class="py-op">;</tt> <tt class="py-name">minute</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">minute</tt><tt class="py-op">;</tt> <tt class="py-name">second</tt><tt class="py-op">=</tt><tt class="py-name">date</tt><tt clas [...]
-<a name="L176"></a><tt class="py-lineno"> 176</tt> <tt class="py-line"> <tt class="py-comment"># Convert time to fractions of a day</tt> </tt>
-<a name="L177"></a><tt class="py-lineno"> 177</tt> <tt class="py-line"> <tt class="py-name">day</tt> <tt class="py-op">=</tt> <tt class="py-name">day</tt> <tt class="py-op">+</tt> <tt class="py-name">hour</tt><tt class="py-op">/</tt><tt class="py-number">24.0</tt> <tt class="py-op">+</tt> <tt class="py-name">minute</tt><tt class="py-op">/</tt><tt class="py-number">1440.0</tt> <tt class="py-op">+</tt> <tt class="py-name">second</tt><tt class="py-op">/</tt><tt class="py-number">86400.0 [...]
-<a name="L178"></a><tt class="py-lineno"> 178</tt> <tt class="py-line"> </tt>
-<a name="L179"></a><tt class="py-lineno"> 179</tt> <tt class="py-line"> <tt class="py-name">jd</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-number">360.</tt> <tt class="py-op">*</tt> <tt class="py-op">(</tt><tt class="py-name">year</tt> <tt class="py-op">+</tt> <tt class="py-number">4716</tt><tt class="py-op">)</tt><tt class="py-op">)</tt> <tt class="py-op">+</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-numb [...]
-<a name="L180"></a><tt class="py-lineno"> 180</tt> <tt class="py-line"> </tt>
-<a name="L181"></a><tt class="py-lineno"> 181</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">jd</tt> </tt>
-</div><a name="L182"></a><tt class="py-lineno"> 182</tt> <tt class="py-line"> </tt>
-<a name="DateFromJulianDay"></a><div id="DateFromJulianDay-def"><a name="L183"></a><tt class="py-lineno"> 183</tt> <a class="py-toggle" href="#" id="DateFromJulianDay-toggle" onclick="return toggle('DateFromJulianDay');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#DateFromJulianDay">DateFromJulianDay</a><tt class="py-op">(</tt><tt class="py-param">JD</tt><tt class="py-op">,</tt><tt class="py-param">calendar</tt>< [...]
-</div><div id="DateFromJulianDay-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="DateFromJulianDay-expanded"><a name="L184"></a><tt class="py-lineno"> 184</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L185"></a><tt class="py-lineno"> 185</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L186"></a><tt class="py-lineno"> 186</tt> <tt class="py-line"><tt class="py-docstring">returns a 'datetime-like' object given Julian Day. Julian Day is a </tt> </tt>
-<a name="L187"></a><tt class="py-lineno"> 187</tt> <tt class="py-line"><tt class="py-docstring">fractional day with a resolution of 1 second.</tt> </tt>
-<a name="L188"></a><tt class="py-lineno"> 188</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L189"></a><tt class="py-lineno"> 189</tt> <tt class="py-line"><tt class="py-docstring">if calendar='standard' or 'gregorian' (default), Julian day follows Julian </tt> </tt>
-<a name="L190"></a><tt class="py-lineno"> 190</tt> <tt class="py-line"><tt class="py-docstring">Calendar on and before 1582-10-5, Gregorian calendar after 1582-10-15.</tt> </tt>
-<a name="L191"></a><tt class="py-lineno"> 191</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L192"></a><tt class="py-lineno"> 192</tt> <tt class="py-line"><tt class="py-docstring">if calendar='proleptic_gregorian', Julian Day follows gregorian calendar.</tt> </tt>
-<a name="L193"></a><tt class="py-lineno"> 193</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L194"></a><tt class="py-lineno"> 194</tt> <tt class="py-line"><tt class="py-docstring">if calendar='julian', Julian Day follows julian calendar.</tt> </tt>
-<a name="L195"></a><tt class="py-lineno"> 195</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L196"></a><tt class="py-lineno"> 196</tt> <tt class="py-line"><tt class="py-docstring">The datetime object is a 'real' datetime object if the date falls in</tt> </tt>
-<a name="L197"></a><tt class="py-lineno"> 197</tt> <tt class="py-line"><tt class="py-docstring">the Gregorian calendar (i.e. calendar='proleptic_gregorian', or</tt> </tt>
-<a name="L198"></a><tt class="py-lineno"> 198</tt> <tt class="py-line"><tt class="py-docstring">calendar = 'standard'/'gregorian' and the date is after 1582-10-15).</tt> </tt>
-<a name="L199"></a><tt class="py-lineno"> 199</tt> <tt class="py-line"><tt class="py-docstring">Otherwise, it's a 'phony' datetime object which is actually an instance</tt> </tt>
-<a name="L200"></a><tt class="py-lineno"> 200</tt> <tt class="py-line"><tt class="py-docstring">of netcdftime.datetime.</tt> </tt>
-<a name="L201"></a><tt class="py-lineno"> 201</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L202"></a><tt class="py-lineno"> 202</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L203"></a><tt class="py-lineno"> 203</tt> <tt class="py-line"><tt class="py-docstring">Algorithm:</tt> </tt>
-<a name="L204"></a><tt class="py-lineno"> 204</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L205"></a><tt class="py-lineno"> 205</tt> <tt class="py-line"><tt class="py-docstring">Meeus, Jean (1998) Astronomical Algorithms (2nd Edition). Willmann-Bell,</tt> </tt>
-<a name="L206"></a><tt class="py-lineno"> 206</tt> <tt class="py-line"><tt class="py-docstring">Virginia. p. 63</tt> </tt>
-<a name="L207"></a><tt class="py-lineno"> 207</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L208"></a><tt class="py-lineno"> 208</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L209"></a><tt class="py-lineno"> 209</tt> <tt class="py-line"> </tt>
-<a name="L210"></a><tt class="py-lineno"> 210</tt> <tt class="py-line"> <tt class="py-comment"># based on redate.py by David Finlayson.</tt> </tt>
-<a name="L211"></a><tt class="py-lineno"> 211</tt> <tt class="py-line"> </tt>
-<a name="L212"></a><tt class="py-lineno"> 212</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">JD</tt> <tt class="py-op"><</tt> <tt class="py-number">0</tt><tt class="py-op">:</tt> </tt>
-<a name="L213"></a><tt class="py-lineno"> 213</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">'Julian Day must be positive'</tt> </tt>
-<a name="L214"></a><tt class="py-lineno"> 214</tt> <tt class="py-line"> </tt>
-<a name="L215"></a><tt class="py-lineno"> 215</tt> <tt class="py-line"> <tt class="py-name">dayofwk</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">fmod</tt><tt class="py-op">(</tt><tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">JD</tt> <tt class="py-op">+</tt> <tt class="py-number">1.5</tt><tt class="py-op">)</tt><tt class="py-op">,</tt><tt class="py-num [...]
-<a name="L216"></a><tt class="py-lineno"> 216</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">F</tt><tt class="py-op">,</tt> <tt class="py-name">Z</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">JD</tt> <tt class="py-op">+</tt> <tt class="py-number">0.5</tt><tt class="py-op">)</tt> </tt>
-<a name="L217"></a><tt class="py-lineno"> 217</tt> <tt class="py-line"> <tt class="py-name">Z</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">Z</tt><tt class="py-op">)</tt> </tt>
-<a name="L218"></a><tt class="py-lineno"> 218</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">calendar</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'standard'</tt><tt class="py-op">,</tt><tt class="py-string">'gregorian'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L219"></a><tt class="py-lineno"> 219</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">JD</tt> <tt class="py-op"><</tt> <tt class="py-number">2299160.5</tt><tt class="py-op">:</tt> </tt>
-<a name="L220"></a><tt class="py-lineno"> 220</tt> <tt class="py-line"> <tt class="py-name">A</tt> <tt class="py-op">=</tt> <tt class="py-name">Z</tt> </tt>
-<a name="L221"></a><tt class="py-lineno"> 221</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L222"></a><tt class="py-lineno"> 222</tt> <tt class="py-line"> <tt class="py-name">alpha</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-op">(</tt><tt class="py-name">Z</tt> <tt class="py-op">-</tt> <tt class="py-number">1867216.25</tt><tt class="py-op">)</tt><tt class="py-op">/</tt><tt class="py-number">36524.25</tt><tt class="py-op">)</tt> </tt>
-<a name="L223"></a><tt class="py-lineno"> 223</tt> <tt class="py-line"> <tt class="py-name">A</tt> <tt class="py-op">=</tt> <tt class="py-name">Z</tt> <tt class="py-op">+</tt> <tt class="py-number">1</tt> <tt class="py-op">+</tt> <tt class="py-name">alpha</tt> <tt class="py-op">-</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">alpha</tt><tt class="py-op">/</tt><tt class="py-number">4</tt><tt class="py-op">)</tt> </tt>
-<a name="L224"></a><tt class="py-lineno"> 224</tt> <tt class="py-line"> </tt>
-<a name="L225"></a><tt class="py-lineno"> 225</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">calendar</tt> <tt class="py-op">==</tt> <tt class="py-string">'proleptic_gregorian'</tt><tt class="py-op">:</tt> </tt>
-<a name="L226"></a><tt class="py-lineno"> 226</tt> <tt class="py-line"> <tt class="py-name">alpha</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-op">(</tt><tt class="py-name">Z</tt> <tt class="py-op">-</tt> <tt class="py-number">1867216.25</tt><tt class="py-op">)</tt><tt class="py-op">/</tt><tt class="py-number">36524.25</tt><tt class="py-op">)</tt> </tt>
-<a name="L227"></a><tt class="py-lineno"> 227</tt> <tt class="py-line"> <tt class="py-name">A</tt> <tt class="py-op">=</tt> <tt class="py-name">Z</tt> <tt class="py-op">+</tt> <tt class="py-number">1</tt> <tt class="py-op">+</tt> <tt class="py-name">alpha</tt> <tt class="py-op">-</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">alpha</tt><tt class="py-op">/</tt><tt class="py-number">4</tt><tt class="py-op">)</tt> </tt>
-<a name="L228"></a><tt class="py-lineno"> 228</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">calendar</tt> <tt class="py-op">==</tt> <tt class="py-string">'julian'</tt><tt class="py-op">:</tt> </tt>
-<a name="L229"></a><tt class="py-lineno"> 229</tt> <tt class="py-line"> <tt class="py-name">A</tt> <tt class="py-op">=</tt> <tt class="py-name">Z</tt> </tt>
-<a name="L230"></a><tt class="py-lineno"> 230</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L231"></a><tt class="py-lineno"> 231</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">'unknown calendar, must be one of julian,standard,gregorian,proleptic_gregorian, got %s'</tt> <tt class="py-op">%</tt> <tt class="py-name">calendar</tt> </tt>
-<a name="L232"></a><tt class="py-lineno"> 232</tt> <tt class="py-line"> </tt>
-<a name="L233"></a><tt class="py-lineno"> 233</tt> <tt class="py-line"> <tt class="py-name">B</tt> <tt class="py-op">=</tt> <tt class="py-name">A</tt> <tt class="py-op">+</tt> <tt class="py-number">1524</tt> </tt>
-<a name="L234"></a><tt class="py-lineno"> 234</tt> <tt class="py-line"> <tt class="py-name">C</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-op">(</tt><tt class="py-name">B</tt> <tt class="py-op">-</tt> <tt class="py-number">122.1</tt><tt class="py-op">)</tt><tt class="py-op">/</tt><tt class="py-number">365.25</tt><tt class="py-op">)</tt> </tt>
-<a name="L235"></a><tt class="py-lineno"> 235</tt> <tt class="py-line"> <tt class="py-name">D</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-number">365.25</tt> <tt class="py-op">*</tt> <tt class="py-name">C</tt><tt class="py-op">)</tt> </tt>
-<a name="L236"></a><tt class="py-lineno"> 236</tt> <tt class="py-line"> <tt class="py-name">E</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-op">(</tt><tt class="py-name">B</tt> <tt class="py-op">-</tt> <tt class="py-name">D</tt><tt class="py-op">)</tt><tt class="py-op">/</tt><tt class="py-number">30.6001</tt><tt class="py-op">)</tt> </tt>
-<a name="L237"></a><tt class="py-lineno"> 237</tt> <tt class="py-line"> </tt>
-<a name="L238"></a><tt class="py-lineno"> 238</tt> <tt class="py-line"> <tt class="py-comment"># Convert to date</tt> </tt>
-<a name="L239"></a><tt class="py-lineno"> 239</tt> <tt class="py-line"> <tt class="py-name">day</tt> <tt class="py-op">=</tt> <tt class="py-name">B</tt> <tt class="py-op">-</tt> <tt class="py-name">D</tt> <tt class="py-op">-</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-number">30.6001</tt> <tt class="py-op">*</tt> <tt class="py-name">E</tt><tt class="py-op">)</tt> <tt class="py-op">+</tt> <tt class="py-name">F</tt> </tt>
-<a name="L240"></a><tt class="py-lineno"> 240</tt> <tt class="py-line"> <tt class="py-name">nday</tt> <tt class="py-op">=</tt> <tt class="py-name">B</tt><tt class="py-op">-</tt><tt class="py-name">D</tt><tt class="py-op">-</tt><tt class="py-number">123</tt> </tt>
-<a name="L241"></a><tt class="py-lineno"> 241</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">nday</tt> <tt class="py-op"><=</tt> <tt class="py-number">305</tt><tt class="py-op">:</tt> </tt>
-<a name="L242"></a><tt class="py-lineno"> 242</tt> <tt class="py-line"> <tt class="py-name">dayofyr</tt> <tt class="py-op">=</tt> <tt class="py-name">nday</tt><tt class="py-op">+</tt><tt class="py-number">60</tt> </tt>
-<a name="L243"></a><tt class="py-lineno"> 243</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L244"></a><tt class="py-lineno"> 244</tt> <tt class="py-line"> <tt class="py-name">dayofyr</tt> <tt class="py-op">=</tt> <tt class="py-name">nday</tt><tt class="py-op">-</tt><tt class="py-number">305</tt> </tt>
-<a name="L245"></a><tt class="py-lineno"> 245</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">E</tt> <tt class="py-op"><</tt> <tt class="py-number">14</tt><tt class="py-op">:</tt> </tt>
-<a name="L246"></a><tt class="py-lineno"> 246</tt> <tt class="py-line"> <tt class="py-name">month</tt> <tt class="py-op">=</tt> <tt class="py-name">E</tt> <tt class="py-op">-</tt> <tt class="py-number">1</tt> </tt>
-<a name="L247"></a><tt class="py-lineno"> 247</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L248"></a><tt class="py-lineno"> 248</tt> <tt class="py-line"> <tt class="py-name">month</tt> <tt class="py-op">=</tt> <tt class="py-name">E</tt> <tt class="py-op">-</tt> <tt class="py-number">13</tt> </tt>
-<a name="L249"></a><tt class="py-lineno"> 249</tt> <tt class="py-line"> </tt>
-<a name="L250"></a><tt class="py-lineno"> 250</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">month</tt> <tt class="py-op">></tt> <tt class="py-number">2</tt><tt class="py-op">:</tt> </tt>
-<a name="L251"></a><tt class="py-lineno"> 251</tt> <tt class="py-line"> <tt class="py-name">year</tt> <tt class="py-op">=</tt> <tt class="py-name">C</tt> <tt class="py-op">-</tt> <tt class="py-number">4716</tt> </tt>
-<a name="L252"></a><tt class="py-lineno"> 252</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L253"></a><tt class="py-lineno"> 253</tt> <tt class="py-line"> <tt class="py-name">year</tt> <tt class="py-op">=</tt> <tt class="py-name">C</tt> <tt class="py-op">-</tt> <tt class="py-number">4715</tt> </tt>
-<a name="L254"></a><tt class="py-lineno"> 254</tt> <tt class="py-line"> </tt>
-<a name="L255"></a><tt class="py-lineno"> 255</tt> <tt class="py-line"> <tt class="py-comment"># a leap year?</tt> </tt>
-<a name="L256"></a><tt class="py-lineno"> 256</tt> <tt class="py-line"> <tt class="py-name">leap</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L257"></a><tt class="py-lineno"> 257</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">year</tt> <tt class="py-op">%</tt> <tt class="py-number">4</tt> <tt class="py-op">==</tt> <tt class="py-number">0</tt><tt class="py-op">:</tt> </tt>
-<a name="L258"></a><tt class="py-lineno"> 258</tt> <tt class="py-line"> <tt class="py-name">leap</tt> <tt class="py-op">=</tt> <tt class="py-number">1</tt> </tt>
-<a name="L259"></a><tt class="py-lineno"> 259</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">calendar</tt> <tt class="py-op">==</tt> <tt class="py-string">'proleptic_gregorian'</tt> <tt class="py-keyword">or</tt> \ </tt>
-<a name="L260"></a><tt class="py-lineno"> 260</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">calendar</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'standard'</tt><tt class="py-op">,</tt><tt class="py-string">'gregorian'</tt><tt class="py-op">]</tt> <tt class="py-keyword">and</tt> <tt class="py-name">JD</tt> <tt class="py-op">>=</tt> <tt class="py-number">2299160.5</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-<a name="L261"></a><tt class="py-lineno"> 261</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">year</tt> <tt class="py-op">%</tt> <tt class="py-number">100</tt> <tt class="py-op">==</tt> <tt class="py-number">0</tt> <tt class="py-keyword">and</tt> <tt class="py-name">year</tt> <tt class="py-op">%</tt> <tt class="py-number">400</tt> <tt class="py-op">!=</tt> <tt class="py-number">0</tt><tt class="py-op">:</tt> </tt>
-<a name="L262"></a><tt class="py-lineno"> 262</tt> <tt class="py-line"> <tt class="py-keyword">print</tt> <tt class="py-name">year</tt> <tt class="py-op">%</tt> <tt class="py-number">100</tt><tt class="py-op">,</tt> <tt class="py-name">year</tt> <tt class="py-op">%</tt> <tt class="py-number">400</tt> </tt>
-<a name="L263"></a><tt class="py-lineno"> 263</tt> <tt class="py-line"> <tt class="py-name">leap</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L264"></a><tt class="py-lineno"> 264</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">leap</tt> <tt class="py-keyword">and</tt> <tt class="py-name">month</tt> <tt class="py-op">></tt> <tt class="py-number">2</tt><tt class="py-op">:</tt> </tt>
-<a name="L265"></a><tt class="py-lineno"> 265</tt> <tt class="py-line"> <tt class="py-name">dayofyr</tt> <tt class="py-op">=</tt> <tt class="py-name">dayofyr</tt> <tt class="py-op">+</tt> <tt class="py-name">leap</tt> </tt>
-<a name="L266"></a><tt class="py-lineno"> 266</tt> <tt class="py-line"> </tt>
-<a name="L267"></a><tt class="py-lineno"> 267</tt> <tt class="py-line"> <tt class="py-comment"># Convert fractions of a day to time </tt> </tt>
-<a name="L268"></a><tt class="py-lineno"> 268</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">dfrac</tt><tt class="py-op">,</tt> <tt class="py-name">days</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">day</tt><tt class="py-op">/</tt><tt class="py-number">1.0</tt><tt class="py-op">)</tt> </tt>
-<a name="L269"></a><tt class="py-lineno"> 269</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">hfrac</tt><tt class="py-op">,</tt> <tt class="py-name">hours</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">dfrac</tt> <tt class="py-op">*</tt> <tt class="py-number">24.0</tt><tt class="py-op">)</tt> </tt>
-<a name="L270"></a><tt class="py-lineno"> 270</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">mfrac</tt><tt class="py-op">,</tt> <tt class="py-name">minutes</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">hfrac</tt> <tt class="py-op">*</tt> <tt class="py-number">60.0</tt><tt class="py-op">)</tt> </tt>
-<a name="L271"></a><tt class="py-lineno"> 271</tt> <tt class="py-line"> <tt class="py-name">seconds</tt> <tt class="py-op">=</tt> <tt class="py-name">round</tt><tt class="py-op">(</tt><tt class="py-name">mfrac</tt> <tt class="py-op">*</tt> <tt class="py-number">60.0</tt><tt class="py-op">)</tt> <tt class="py-comment"># seconds are rounded</tt> </tt>
-<a name="L272"></a><tt class="py-lineno"> 272</tt> <tt class="py-line"> </tt>
-<a name="L273"></a><tt class="py-lineno"> 273</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">seconds</tt> <tt class="py-op">></tt> <tt class="py-number">59</tt><tt class="py-op">:</tt> </tt>
-<a name="L274"></a><tt class="py-lineno"> 274</tt> <tt class="py-line"> <tt class="py-name">seconds</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L275"></a><tt class="py-lineno"> 275</tt> <tt class="py-line"> <tt class="py-name">minutes</tt> <tt class="py-op">=</tt> <tt class="py-name">minutes</tt> <tt class="py-op">+</tt> <tt class="py-number">1</tt> </tt>
-<a name="L276"></a><tt class="py-lineno"> 276</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">minutes</tt> <tt class="py-op">></tt> <tt class="py-number">59</tt><tt class="py-op">:</tt> </tt>
-<a name="L277"></a><tt class="py-lineno"> 277</tt> <tt class="py-line"> <tt class="py-name">minutes</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L278"></a><tt class="py-lineno"> 278</tt> <tt class="py-line"> <tt class="py-name">hours</tt> <tt class="py-op">=</tt> <tt class="py-name">hours</tt> <tt class="py-op">+</tt> <tt class="py-number">1</tt> </tt>
-<a name="L279"></a><tt class="py-lineno"> 279</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">hours</tt> <tt class="py-op">></tt> <tt class="py-number">23</tt><tt class="py-op">:</tt> </tt>
-<a name="L280"></a><tt class="py-lineno"> 280</tt> <tt class="py-line"> <tt class="py-name">hours</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L281"></a><tt class="py-lineno"> 281</tt> <tt class="py-line"> <tt class="py-name">days</tt> <tt class="py-op">=</tt> <tt class="py-name">days</tt> <tt class="py-op">+</tt> <tt class="py-number">1</tt> </tt>
-<a name="L282"></a><tt class="py-lineno"> 282</tt> <tt class="py-line"> </tt>
-<a name="L283"></a><tt class="py-lineno"> 283</tt> <tt class="py-line"> <tt class="py-comment"># return a 'real' datetime instance if calendar is gregorian.</tt> </tt>
-<a name="L284"></a><tt class="py-lineno"> 284</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">calendar</tt> <tt class="py-op">==</tt> <tt class="py-string">'proleptic_gregorian'</tt> <tt class="py-keyword">or</tt> \ </tt>
-<a name="L285"></a><tt class="py-lineno"> 285</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">calendar</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'standard'</tt><tt class="py-op">,</tt><tt class="py-string">'gregorian'</tt><tt class="py-op">]</tt> <tt class="py-keyword">and</tt> <tt class="py-name">JD</tt> <tt class="py-op">>=</tt> <tt class="py-number">2299160.5</tt><tt class="py-op">)</tt><tt class="py-op">:</t [...]
-<a name="L286"></a><tt class="py-lineno"> 286</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">real_datetime</tt><tt class="py-op">(</tt><tt class="py-name">year</tt><tt class="py-op">,</tt><tt class="py-name">month</tt><tt class="py-op">,</tt><tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">days</tt><tt class="py-op">)</tt><tt class="py-op">,</tt><tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">hours</ [...]
-<a name="L287"></a><tt class="py-lineno"> 287</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L288"></a><tt class="py-lineno"> 288</tt> <tt class="py-line"> <tt class="py-comment"># or else, return a 'datetime-like' instance.</tt> </tt>
-<a name="L289"></a><tt class="py-lineno"> 289</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt id="link-8" class="py-name"><a title="netcdftime.netcdftime.datetime" class="py-name" href="#" onclick="return doclink('link-8', 'datetime', 'link-0');">datetime</a></tt><tt class="py-op">(</tt><tt class="py-name">year</tt><tt class="py-op">,</tt><tt class="py-name">month</tt><tt class="py-op">,</tt><tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name"> [...]
-</div><a name="L290"></a><tt class="py-lineno"> 290</tt> <tt class="py-line"> </tt>
-<a name="_DateFromNoLeapDay"></a><div id="_DateFromNoLeapDay-def"><a name="L291"></a><tt class="py-lineno"> 291</tt> <a class="py-toggle" href="#" id="_DateFromNoLeapDay-toggle" onclick="return toggle('_DateFromNoLeapDay');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#_DateFromNoLeapDay">_DateFromNoLeapDay</a><tt class="py-op">(</tt><tt class="py-param">JD</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-</div><div id="_DateFromNoLeapDay-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="_DateFromNoLeapDay-expanded"><a name="L292"></a><tt class="py-lineno"> 292</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L293"></a><tt class="py-lineno"> 293</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L294"></a><tt class="py-lineno"> 294</tt> <tt class="py-line"><tt class="py-docstring">returns a 'datetime-like' object given Julian Day for a calendar with no leap </tt> </tt>
-<a name="L295"></a><tt class="py-lineno"> 295</tt> <tt class="py-line"><tt class="py-docstring">days. Julian Day is a fractional day with a resolution of 1 second.</tt> </tt>
-<a name="L296"></a><tt class="py-lineno"> 296</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L297"></a><tt class="py-lineno"> 297</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L298"></a><tt class="py-lineno"> 298</tt> <tt class="py-line"> </tt>
-<a name="L299"></a><tt class="py-lineno"> 299</tt> <tt class="py-line"> <tt class="py-comment"># based on redate.py by David Finlayson.</tt> </tt>
-<a name="L300"></a><tt class="py-lineno"> 300</tt> <tt class="py-line"> </tt>
-<a name="L301"></a><tt class="py-lineno"> 301</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">JD</tt> <tt class="py-op"><</tt> <tt class="py-number">0</tt><tt class="py-op">:</tt> </tt>
-<a name="L302"></a><tt class="py-lineno"> 302</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">'Julian Day must be positive'</tt> </tt>
-<a name="L303"></a><tt class="py-lineno"> 303</tt> <tt class="py-line"> </tt>
-<a name="L304"></a><tt class="py-lineno"> 304</tt> <tt class="py-line"> <tt class="py-name">dayofwk</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">fmod</tt><tt class="py-op">(</tt><tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">JD</tt> <tt class="py-op">+</tt> <tt class="py-number">1.5</tt><tt class="py-op">)</tt><tt class="py-op">,</tt><tt class="py-num [...]
-<a name="L305"></a><tt class="py-lineno"> 305</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">F</tt><tt class="py-op">,</tt> <tt class="py-name">Z</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">JD</tt> <tt class="py-op">+</tt> <tt class="py-number">0.5</tt><tt class="py-op">)</tt> </tt>
-<a name="L306"></a><tt class="py-lineno"> 306</tt> <tt class="py-line"> <tt class="py-name">Z</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">Z</tt><tt class="py-op">)</tt> </tt>
-<a name="L307"></a><tt class="py-lineno"> 307</tt> <tt class="py-line"> <tt class="py-name">A</tt> <tt class="py-op">=</tt> <tt class="py-name">Z</tt> </tt>
-<a name="L308"></a><tt class="py-lineno"> 308</tt> <tt class="py-line"> <tt class="py-name">B</tt> <tt class="py-op">=</tt> <tt class="py-name">A</tt> <tt class="py-op">+</tt> <tt class="py-number">1524</tt> </tt>
-<a name="L309"></a><tt class="py-lineno"> 309</tt> <tt class="py-line"> <tt class="py-name">C</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-op">(</tt><tt class="py-name">B</tt> <tt class="py-op">-</tt> <tt class="py-number">122.1</tt><tt class="py-op">)</tt><tt class="py-op">/</tt><tt class="py-number">365.</tt><tt class="py-op">)</tt> </tt>
-<a name="L310"></a><tt class="py-lineno"> 310</tt> <tt class="py-line"> <tt class="py-name">D</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-number">365.</tt> <tt class="py-op">*</tt> <tt class="py-name">C</tt><tt class="py-op">)</tt> </tt>
-<a name="L311"></a><tt class="py-lineno"> 311</tt> <tt class="py-line"> <tt class="py-name">E</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-op">(</tt><tt class="py-name">B</tt> <tt class="py-op">-</tt> <tt class="py-name">D</tt><tt class="py-op">)</tt><tt class="py-op">/</tt><tt class="py-number">30.6001</tt><tt class="py-op">)</tt> </tt>
-<a name="L312"></a><tt class="py-lineno"> 312</tt> <tt class="py-line"> </tt>
-<a name="L313"></a><tt class="py-lineno"> 313</tt> <tt class="py-line"> <tt class="py-comment"># Convert to date</tt> </tt>
-<a name="L314"></a><tt class="py-lineno"> 314</tt> <tt class="py-line"> <tt class="py-name">day</tt> <tt class="py-op">=</tt> <tt class="py-name">B</tt> <tt class="py-op">-</tt> <tt class="py-name">D</tt> <tt class="py-op">-</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-number">30.6001</tt> <tt class="py-op">*</tt> <tt class="py-name">E</tt><tt class="py-op">)</tt> <tt class="py-op">+</tt> <tt class="py-name">F</tt> </tt>
-<a name="L315"></a><tt class="py-lineno"> 315</tt> <tt class="py-line"> <tt class="py-name">nday</tt> <tt class="py-op">=</tt> <tt class="py-name">B</tt><tt class="py-op">-</tt><tt class="py-name">D</tt><tt class="py-op">-</tt><tt class="py-number">123</tt> </tt>
-<a name="L316"></a><tt class="py-lineno"> 316</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">nday</tt> <tt class="py-op"><=</tt> <tt class="py-number">305</tt><tt class="py-op">:</tt> </tt>
-<a name="L317"></a><tt class="py-lineno"> 317</tt> <tt class="py-line"> <tt class="py-name">dayofyr</tt> <tt class="py-op">=</tt> <tt class="py-name">nday</tt><tt class="py-op">+</tt><tt class="py-number">60</tt> </tt>
-<a name="L318"></a><tt class="py-lineno"> 318</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L319"></a><tt class="py-lineno"> 319</tt> <tt class="py-line"> <tt class="py-name">dayofyr</tt> <tt class="py-op">=</tt> <tt class="py-name">nday</tt><tt class="py-op">-</tt><tt class="py-number">305</tt> </tt>
-<a name="L320"></a><tt class="py-lineno"> 320</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">E</tt> <tt class="py-op"><</tt> <tt class="py-number">14</tt><tt class="py-op">:</tt> </tt>
-<a name="L321"></a><tt class="py-lineno"> 321</tt> <tt class="py-line"> <tt class="py-name">month</tt> <tt class="py-op">=</tt> <tt class="py-name">E</tt> <tt class="py-op">-</tt> <tt class="py-number">1</tt> </tt>
-<a name="L322"></a><tt class="py-lineno"> 322</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L323"></a><tt class="py-lineno"> 323</tt> <tt class="py-line"> <tt class="py-name">month</tt> <tt class="py-op">=</tt> <tt class="py-name">E</tt> <tt class="py-op">-</tt> <tt class="py-number">13</tt> </tt>
-<a name="L324"></a><tt class="py-lineno"> 324</tt> <tt class="py-line"> </tt>
-<a name="L325"></a><tt class="py-lineno"> 325</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">month</tt> <tt class="py-op">></tt> <tt class="py-number">2</tt><tt class="py-op">:</tt> </tt>
-<a name="L326"></a><tt class="py-lineno"> 326</tt> <tt class="py-line"> <tt class="py-name">year</tt> <tt class="py-op">=</tt> <tt class="py-name">C</tt> <tt class="py-op">-</tt> <tt class="py-number">4716</tt> </tt>
-<a name="L327"></a><tt class="py-lineno"> 327</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L328"></a><tt class="py-lineno"> 328</tt> <tt class="py-line"> <tt class="py-name">year</tt> <tt class="py-op">=</tt> <tt class="py-name">C</tt> <tt class="py-op">-</tt> <tt class="py-number">4715</tt> </tt>
-<a name="L329"></a><tt class="py-lineno"> 329</tt> <tt class="py-line"> </tt>
-<a name="L330"></a><tt class="py-lineno"> 330</tt> <tt class="py-line"> <tt class="py-comment"># Convert fractions of a day to time </tt> </tt>
-<a name="L331"></a><tt class="py-lineno"> 331</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">dfrac</tt><tt class="py-op">,</tt> <tt class="py-name">days</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">day</tt><tt class="py-op">/</tt><tt class="py-number">1.0</tt><tt class="py-op">)</tt> </tt>
-<a name="L332"></a><tt class="py-lineno"> 332</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">hfrac</tt><tt class="py-op">,</tt> <tt class="py-name">hours</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">dfrac</tt> <tt class="py-op">*</tt> <tt class="py-number">24.0</tt><tt class="py-op">)</tt> </tt>
-<a name="L333"></a><tt class="py-lineno"> 333</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">mfrac</tt><tt class="py-op">,</tt> <tt class="py-name">minutes</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">hfrac</tt> <tt class="py-op">*</tt> <tt class="py-number">60.0</tt><tt class="py-op">)</tt> </tt>
-<a name="L334"></a><tt class="py-lineno"> 334</tt> <tt class="py-line"> <tt class="py-name">seconds</tt> <tt class="py-op">=</tt> <tt class="py-name">round</tt><tt class="py-op">(</tt><tt class="py-name">mfrac</tt> <tt class="py-op">*</tt> <tt class="py-number">60.0</tt><tt class="py-op">)</tt> <tt class="py-comment"># seconds are rounded</tt> </tt>
-<a name="L335"></a><tt class="py-lineno"> 335</tt> <tt class="py-line"> </tt>
-<a name="L336"></a><tt class="py-lineno"> 336</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">seconds</tt> <tt class="py-op">></tt> <tt class="py-number">59</tt><tt class="py-op">:</tt> </tt>
-<a name="L337"></a><tt class="py-lineno"> 337</tt> <tt class="py-line"> <tt class="py-name">seconds</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L338"></a><tt class="py-lineno"> 338</tt> <tt class="py-line"> <tt class="py-name">minutes</tt> <tt class="py-op">=</tt> <tt class="py-name">minutes</tt> <tt class="py-op">+</tt> <tt class="py-number">1</tt> </tt>
-<a name="L339"></a><tt class="py-lineno"> 339</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">minutes</tt> <tt class="py-op">></tt> <tt class="py-number">59</tt><tt class="py-op">:</tt> </tt>
-<a name="L340"></a><tt class="py-lineno"> 340</tt> <tt class="py-line"> <tt class="py-name">minutes</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L341"></a><tt class="py-lineno"> 341</tt> <tt class="py-line"> <tt class="py-name">hours</tt> <tt class="py-op">=</tt> <tt class="py-name">hours</tt> <tt class="py-op">+</tt> <tt class="py-number">1</tt> </tt>
-<a name="L342"></a><tt class="py-lineno"> 342</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">hours</tt> <tt class="py-op">></tt> <tt class="py-number">23</tt><tt class="py-op">:</tt> </tt>
-<a name="L343"></a><tt class="py-lineno"> 343</tt> <tt class="py-line"> <tt class="py-name">hours</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L344"></a><tt class="py-lineno"> 344</tt> <tt class="py-line"> <tt class="py-name">days</tt> <tt class="py-op">=</tt> <tt class="py-name">days</tt> <tt class="py-op">+</tt> <tt class="py-number">1</tt> </tt>
-<a name="L345"></a><tt class="py-lineno"> 345</tt> <tt class="py-line"> </tt>
-<a name="L346"></a><tt class="py-lineno"> 346</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt id="link-9" class="py-name"><a title="netcdftime.netcdftime.datetime" class="py-name" href="#" onclick="return doclink('link-9', 'datetime', 'link-0');">datetime</a></tt><tt class="py-op">(</tt><tt class="py-name">year</tt><tt class="py-op">,</tt><tt class="py-name">month</tt><tt class="py-op">,</tt><tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">days [...]
-</div><a name="L347"></a><tt class="py-lineno"> 347</tt> <tt class="py-line"> </tt>
-<a name="_DateFromAllLeap"></a><div id="_DateFromAllLeap-def"><a name="L348"></a><tt class="py-lineno"> 348</tt> <a class="py-toggle" href="#" id="_DateFromAllLeap-toggle" onclick="return toggle('_DateFromAllLeap');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#_DateFromAllLeap">_DateFromAllLeap</a><tt class="py-op">(</tt><tt class="py-param">JD</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-</div><div id="_DateFromAllLeap-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="_DateFromAllLeap-expanded"><a name="L349"></a><tt class="py-lineno"> 349</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L350"></a><tt class="py-lineno"> 350</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L351"></a><tt class="py-lineno"> 351</tt> <tt class="py-line"><tt class="py-docstring">returns a 'datetime-like' object given Julian Day for a calendar where all</tt> </tt>
-<a name="L352"></a><tt class="py-lineno"> 352</tt> <tt class="py-line"><tt class="py-docstring">years have 366 days.</tt> </tt>
-<a name="L353"></a><tt class="py-lineno"> 353</tt> <tt class="py-line"><tt class="py-docstring">Julian Day is a fractional day with a resolution of 1 second.</tt> </tt>
-<a name="L354"></a><tt class="py-lineno"> 354</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L355"></a><tt class="py-lineno"> 355</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L356"></a><tt class="py-lineno"> 356</tt> <tt class="py-line"> </tt>
-<a name="L357"></a><tt class="py-lineno"> 357</tt> <tt class="py-line"> <tt class="py-comment"># based on redate.py by David Finlayson.</tt> </tt>
-<a name="L358"></a><tt class="py-lineno"> 358</tt> <tt class="py-line"> </tt>
-<a name="L359"></a><tt class="py-lineno"> 359</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">JD</tt> <tt class="py-op"><</tt> <tt class="py-number">0</tt><tt class="py-op">:</tt> </tt>
-<a name="L360"></a><tt class="py-lineno"> 360</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">'Julian Day must be positive'</tt> </tt>
-<a name="L361"></a><tt class="py-lineno"> 361</tt> <tt class="py-line"> </tt>
-<a name="L362"></a><tt class="py-lineno"> 362</tt> <tt class="py-line"> <tt class="py-name">dayofwk</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">fmod</tt><tt class="py-op">(</tt><tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">JD</tt> <tt class="py-op">+</tt> <tt class="py-number">1.5</tt><tt class="py-op">)</tt><tt class="py-op">,</tt><tt class="py-num [...]
-<a name="L363"></a><tt class="py-lineno"> 363</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">F</tt><tt class="py-op">,</tt> <tt class="py-name">Z</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">JD</tt> <tt class="py-op">+</tt> <tt class="py-number">0.5</tt><tt class="py-op">)</tt> </tt>
-<a name="L364"></a><tt class="py-lineno"> 364</tt> <tt class="py-line"> <tt class="py-name">Z</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">Z</tt><tt class="py-op">)</tt> </tt>
-<a name="L365"></a><tt class="py-lineno"> 365</tt> <tt class="py-line"> <tt class="py-name">A</tt> <tt class="py-op">=</tt> <tt class="py-name">Z</tt> </tt>
-<a name="L366"></a><tt class="py-lineno"> 366</tt> <tt class="py-line"> <tt class="py-name">B</tt> <tt class="py-op">=</tt> <tt class="py-name">A</tt> <tt class="py-op">+</tt> <tt class="py-number">1524</tt> </tt>
-<a name="L367"></a><tt class="py-lineno"> 367</tt> <tt class="py-line"> <tt class="py-name">C</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-op">(</tt><tt class="py-name">B</tt> <tt class="py-op">-</tt> <tt class="py-number">122.1</tt><tt class="py-op">)</tt><tt class="py-op">/</tt><tt class="py-number">366.</tt><tt class="py-op">)</tt> </tt>
-<a name="L368"></a><tt class="py-lineno"> 368</tt> <tt class="py-line"> <tt class="py-name">D</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-number">366.</tt> <tt class="py-op">*</tt> <tt class="py-name">C</tt><tt class="py-op">)</tt> </tt>
-<a name="L369"></a><tt class="py-lineno"> 369</tt> <tt class="py-line"> <tt class="py-name">E</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-op">(</tt><tt class="py-name">B</tt> <tt class="py-op">-</tt> <tt class="py-name">D</tt><tt class="py-op">)</tt><tt class="py-op">/</tt><tt class="py-number">30.6001</tt><tt class="py-op">)</tt> </tt>
-<a name="L370"></a><tt class="py-lineno"> 370</tt> <tt class="py-line"> </tt>
-<a name="L371"></a><tt class="py-lineno"> 371</tt> <tt class="py-line"> <tt class="py-comment"># Convert to date</tt> </tt>
-<a name="L372"></a><tt class="py-lineno"> 372</tt> <tt class="py-line"> <tt class="py-name">day</tt> <tt class="py-op">=</tt> <tt class="py-name">B</tt> <tt class="py-op">-</tt> <tt class="py-name">D</tt> <tt class="py-op">-</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-number">30.6001</tt> <tt class="py-op">*</tt> <tt class="py-name">E</tt><tt class="py-op">)</tt> <tt class="py-op">+</tt> <tt class="py-name">F</tt> </tt>
-<a name="L373"></a><tt class="py-lineno"> 373</tt> <tt class="py-line"> <tt class="py-name">nday</tt> <tt class="py-op">=</tt> <tt class="py-name">B</tt><tt class="py-op">-</tt><tt class="py-name">D</tt><tt class="py-op">-</tt><tt class="py-number">123</tt> </tt>
-<a name="L374"></a><tt class="py-lineno"> 374</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">nday</tt> <tt class="py-op"><=</tt> <tt class="py-number">305</tt><tt class="py-op">:</tt> </tt>
-<a name="L375"></a><tt class="py-lineno"> 375</tt> <tt class="py-line"> <tt class="py-name">dayofyr</tt> <tt class="py-op">=</tt> <tt class="py-name">nday</tt><tt class="py-op">+</tt><tt class="py-number">60</tt> </tt>
-<a name="L376"></a><tt class="py-lineno"> 376</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L377"></a><tt class="py-lineno"> 377</tt> <tt class="py-line"> <tt class="py-name">dayofyr</tt> <tt class="py-op">=</tt> <tt class="py-name">nday</tt><tt class="py-op">-</tt><tt class="py-number">305</tt> </tt>
-<a name="L378"></a><tt class="py-lineno"> 378</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">E</tt> <tt class="py-op"><</tt> <tt class="py-number">14</tt><tt class="py-op">:</tt> </tt>
-<a name="L379"></a><tt class="py-lineno"> 379</tt> <tt class="py-line"> <tt class="py-name">month</tt> <tt class="py-op">=</tt> <tt class="py-name">E</tt> <tt class="py-op">-</tt> <tt class="py-number">1</tt> </tt>
-<a name="L380"></a><tt class="py-lineno"> 380</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L381"></a><tt class="py-lineno"> 381</tt> <tt class="py-line"> <tt class="py-name">month</tt> <tt class="py-op">=</tt> <tt class="py-name">E</tt> <tt class="py-op">-</tt> <tt class="py-number">13</tt> </tt>
-<a name="L382"></a><tt class="py-lineno"> 382</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">month</tt> <tt class="py-op">></tt> <tt class="py-number">2</tt><tt class="py-op">:</tt> </tt>
-<a name="L383"></a><tt class="py-lineno"> 383</tt> <tt class="py-line"> <tt class="py-name">dayofyr</tt> <tt class="py-op">=</tt> <tt class="py-name">dayofyr</tt><tt class="py-op">+</tt><tt class="py-number">1</tt> </tt>
-<a name="L384"></a><tt class="py-lineno"> 384</tt> <tt class="py-line"> </tt>
-<a name="L385"></a><tt class="py-lineno"> 385</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">month</tt> <tt class="py-op">></tt> <tt class="py-number">2</tt><tt class="py-op">:</tt> </tt>
-<a name="L386"></a><tt class="py-lineno"> 386</tt> <tt class="py-line"> <tt class="py-name">year</tt> <tt class="py-op">=</tt> <tt class="py-name">C</tt> <tt class="py-op">-</tt> <tt class="py-number">4716</tt> </tt>
-<a name="L387"></a><tt class="py-lineno"> 387</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L388"></a><tt class="py-lineno"> 388</tt> <tt class="py-line"> <tt class="py-name">year</tt> <tt class="py-op">=</tt> <tt class="py-name">C</tt> <tt class="py-op">-</tt> <tt class="py-number">4715</tt> </tt>
-<a name="L389"></a><tt class="py-lineno"> 389</tt> <tt class="py-line"> </tt>
-<a name="L390"></a><tt class="py-lineno"> 390</tt> <tt class="py-line"> <tt class="py-comment"># Convert fractions of a day to time </tt> </tt>
-<a name="L391"></a><tt class="py-lineno"> 391</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">dfrac</tt><tt class="py-op">,</tt> <tt class="py-name">days</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">day</tt><tt class="py-op">/</tt><tt class="py-number">1.0</tt><tt class="py-op">)</tt> </tt>
-<a name="L392"></a><tt class="py-lineno"> 392</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">hfrac</tt><tt class="py-op">,</tt> <tt class="py-name">hours</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">dfrac</tt> <tt class="py-op">*</tt> <tt class="py-number">24.0</tt><tt class="py-op">)</tt> </tt>
-<a name="L393"></a><tt class="py-lineno"> 393</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">mfrac</tt><tt class="py-op">,</tt> <tt class="py-name">minutes</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">hfrac</tt> <tt class="py-op">*</tt> <tt class="py-number">60.0</tt><tt class="py-op">)</tt> </tt>
-<a name="L394"></a><tt class="py-lineno"> 394</tt> <tt class="py-line"> <tt class="py-name">seconds</tt> <tt class="py-op">=</tt> <tt class="py-name">round</tt><tt class="py-op">(</tt><tt class="py-name">mfrac</tt> <tt class="py-op">*</tt> <tt class="py-number">60.0</tt><tt class="py-op">)</tt> <tt class="py-comment"># seconds are rounded</tt> </tt>
-<a name="L395"></a><tt class="py-lineno"> 395</tt> <tt class="py-line"> </tt>
-<a name="L396"></a><tt class="py-lineno"> 396</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">seconds</tt> <tt class="py-op">></tt> <tt class="py-number">59</tt><tt class="py-op">:</tt> </tt>
-<a name="L397"></a><tt class="py-lineno"> 397</tt> <tt class="py-line"> <tt class="py-name">seconds</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L398"></a><tt class="py-lineno"> 398</tt> <tt class="py-line"> <tt class="py-name">minutes</tt> <tt class="py-op">=</tt> <tt class="py-name">minutes</tt> <tt class="py-op">+</tt> <tt class="py-number">1</tt> </tt>
-<a name="L399"></a><tt class="py-lineno"> 399</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">minutes</tt> <tt class="py-op">></tt> <tt class="py-number">59</tt><tt class="py-op">:</tt> </tt>
-<a name="L400"></a><tt class="py-lineno"> 400</tt> <tt class="py-line"> <tt class="py-name">minutes</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L401"></a><tt class="py-lineno"> 401</tt> <tt class="py-line"> <tt class="py-name">hours</tt> <tt class="py-op">=</tt> <tt class="py-name">hours</tt> <tt class="py-op">+</tt> <tt class="py-number">1</tt> </tt>
-<a name="L402"></a><tt class="py-lineno"> 402</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">hours</tt> <tt class="py-op">></tt> <tt class="py-number">23</tt><tt class="py-op">:</tt> </tt>
-<a name="L403"></a><tt class="py-lineno"> 403</tt> <tt class="py-line"> <tt class="py-name">hours</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L404"></a><tt class="py-lineno"> 404</tt> <tt class="py-line"> <tt class="py-name">days</tt> <tt class="py-op">=</tt> <tt class="py-name">days</tt> <tt class="py-op">+</tt> <tt class="py-number">1</tt> </tt>
-<a name="L405"></a><tt class="py-lineno"> 405</tt> <tt class="py-line"> </tt>
-<a name="L406"></a><tt class="py-lineno"> 406</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt id="link-10" class="py-name"><a title="netcdftime.netcdftime.datetime" class="py-name" href="#" onclick="return doclink('link-10', 'datetime', 'link-0');">datetime</a></tt><tt class="py-op">(</tt><tt class="py-name">year</tt><tt class="py-op">,</tt><tt class="py-name">month</tt><tt class="py-op">,</tt><tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">da [...]
-</div><a name="L407"></a><tt class="py-lineno"> 407</tt> <tt class="py-line"> </tt>
-<a name="_DateFrom360Day"></a><div id="_DateFrom360Day-def"><a name="L408"></a><tt class="py-lineno"> 408</tt> <a class="py-toggle" href="#" id="_DateFrom360Day-toggle" onclick="return toggle('_DateFrom360Day');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#_DateFrom360Day">_DateFrom360Day</a><tt class="py-op">(</tt><tt class="py-param">JD</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-</div><div id="_DateFrom360Day-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="_DateFrom360Day-expanded"><a name="L409"></a><tt class="py-lineno"> 409</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L410"></a><tt class="py-lineno"> 410</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L411"></a><tt class="py-lineno"> 411</tt> <tt class="py-line"><tt class="py-docstring">returns a 'datetime-like' object given Julian Day for a calendar where all</tt> </tt>
-<a name="L412"></a><tt class="py-lineno"> 412</tt> <tt class="py-line"><tt class="py-docstring">months have 30 days.</tt> </tt>
-<a name="L413"></a><tt class="py-lineno"> 413</tt> <tt class="py-line"><tt class="py-docstring">Julian Day is a fractional day with a resolution of 1 second.</tt> </tt>
-<a name="L414"></a><tt class="py-lineno"> 414</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L415"></a><tt class="py-lineno"> 415</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L416"></a><tt class="py-lineno"> 416</tt> <tt class="py-line"> </tt>
-<a name="L417"></a><tt class="py-lineno"> 417</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">JD</tt> <tt class="py-op"><</tt> <tt class="py-number">0</tt><tt class="py-op">:</tt> </tt>
-<a name="L418"></a><tt class="py-lineno"> 418</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">'Julian Day must be positive'</tt> </tt>
-<a name="L419"></a><tt class="py-lineno"> 419</tt> <tt class="py-line"> </tt>
-<a name="L420"></a><tt class="py-lineno"> 420</tt> <tt class="py-line"> <tt class="py-comment">#jd = int(360. * (year + 4716)) + int(30. * (month - 1)) + day</tt> </tt>
-<a name="L421"></a><tt class="py-lineno"> 421</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">F</tt><tt class="py-op">,</tt> <tt class="py-name">Z</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">JD</tt><tt class="py-op">)</tt> </tt>
-<a name="L422"></a><tt class="py-lineno"> 422</tt> <tt class="py-line"> <tt class="py-name">year</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-op">(</tt><tt class="py-name">Z</tt><tt class="py-op">-</tt><tt class="py-number">0.5</tt><tt class="py-op">)</tt><tt class="py-op">/</tt><tt class="py-number">360.</tt><tt class="py-op">)</tt> <tt class="py-op">-</tt> <tt class="py-number">4716</tt> </tt>
-<a name="L423"></a><tt class="py-lineno"> 423</tt> <tt class="py-line"> <tt class="py-name">dayofyr</tt> <tt class="py-op">=</tt> <tt class="py-name">Z</tt> <tt class="py-op">-</tt> <tt class="py-op">(</tt><tt class="py-name">year</tt><tt class="py-op">+</tt><tt class="py-number">4716</tt><tt class="py-op">)</tt><tt class="py-op">*</tt><tt class="py-number">360</tt> </tt>
-<a name="L424"></a><tt class="py-lineno"> 424</tt> <tt class="py-line"> <tt class="py-name">month</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-op">(</tt><tt class="py-name">dayofyr</tt><tt class="py-op">-</tt><tt class="py-number">0.5</tt><tt class="py-op">)</tt><tt class="py-op">/</tt><tt class="py-number">30</tt><tt class="py-op">)</tt><tt class="py-op">+</tt><tt class="py-number">1</tt> </tt>
-<a name="L425"></a><tt class="py-lineno"> 425</tt> <tt class="py-line"> <tt class="py-name">day</tt> <tt class="py-op">=</tt> <tt class="py-name">dayofyr</tt> <tt class="py-op">-</tt> <tt class="py-op">(</tt><tt class="py-name">month</tt><tt class="py-op">-</tt><tt class="py-number">1</tt><tt class="py-op">)</tt><tt class="py-op">*</tt><tt class="py-number">30</tt> <tt class="py-op">+</tt> <tt class="py-name">F</tt> </tt>
-<a name="L426"></a><tt class="py-lineno"> 426</tt> <tt class="py-line"> </tt>
-<a name="L427"></a><tt class="py-lineno"> 427</tt> <tt class="py-line"> <tt class="py-comment"># Convert fractions of a day to time </tt> </tt>
-<a name="L428"></a><tt class="py-lineno"> 428</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">dfrac</tt><tt class="py-op">,</tt> <tt class="py-name">days</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">day</tt><tt class="py-op">/</tt><tt class="py-number">1.0</tt><tt class="py-op">)</tt> </tt>
-<a name="L429"></a><tt class="py-lineno"> 429</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">hfrac</tt><tt class="py-op">,</tt> <tt class="py-name">hours</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">dfrac</tt> <tt class="py-op">*</tt> <tt class="py-number">24.0</tt><tt class="py-op">)</tt> </tt>
-<a name="L430"></a><tt class="py-lineno"> 430</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">mfrac</tt><tt class="py-op">,</tt> <tt class="py-name">minutes</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">math</tt><tt class="py-op">.</tt><tt class="py-name">modf</tt><tt class="py-op">(</tt><tt class="py-name">hfrac</tt> <tt class="py-op">*</tt> <tt class="py-number">60.0</tt><tt class="py-op">)</tt> </tt>
-<a name="L431"></a><tt class="py-lineno"> 431</tt> <tt class="py-line"> <tt class="py-name">seconds</tt> <tt class="py-op">=</tt> <tt class="py-name">round</tt><tt class="py-op">(</tt><tt class="py-name">mfrac</tt> <tt class="py-op">*</tt> <tt class="py-number">60.0</tt><tt class="py-op">)</tt> <tt class="py-comment"># seconds are rounded</tt> </tt>
-<a name="L432"></a><tt class="py-lineno"> 432</tt> <tt class="py-line"> </tt>
-<a name="L433"></a><tt class="py-lineno"> 433</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">seconds</tt> <tt class="py-op">></tt> <tt class="py-number">59</tt><tt class="py-op">:</tt> </tt>
-<a name="L434"></a><tt class="py-lineno"> 434</tt> <tt class="py-line"> <tt class="py-name">seconds</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L435"></a><tt class="py-lineno"> 435</tt> <tt class="py-line"> <tt class="py-name">minutes</tt> <tt class="py-op">=</tt> <tt class="py-name">minutes</tt> <tt class="py-op">+</tt> <tt class="py-number">1</tt> </tt>
-<a name="L436"></a><tt class="py-lineno"> 436</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">minutes</tt> <tt class="py-op">></tt> <tt class="py-number">59</tt><tt class="py-op">:</tt> </tt>
-<a name="L437"></a><tt class="py-lineno"> 437</tt> <tt class="py-line"> <tt class="py-name">minutes</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L438"></a><tt class="py-lineno"> 438</tt> <tt class="py-line"> <tt class="py-name">hours</tt> <tt class="py-op">=</tt> <tt class="py-name">hours</tt> <tt class="py-op">+</tt> <tt class="py-number">1</tt> </tt>
-<a name="L439"></a><tt class="py-lineno"> 439</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">hours</tt> <tt class="py-op">></tt> <tt class="py-number">23</tt><tt class="py-op">:</tt> </tt>
-<a name="L440"></a><tt class="py-lineno"> 440</tt> <tt class="py-line"> <tt class="py-name">hours</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L441"></a><tt class="py-lineno"> 441</tt> <tt class="py-line"> <tt class="py-name">days</tt> <tt class="py-op">=</tt> <tt class="py-name">days</tt> <tt class="py-op">+</tt> <tt class="py-number">1</tt> </tt>
-<a name="L442"></a><tt class="py-lineno"> 442</tt> <tt class="py-line"> </tt>
-<a name="L443"></a><tt class="py-lineno"> 443</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt id="link-11" class="py-name"><a title="netcdftime.netcdftime.datetime" class="py-name" href="#" onclick="return doclink('link-11', 'datetime', 'link-0');">datetime</a></tt><tt class="py-op">(</tt><tt class="py-name">year</tt><tt class="py-op">,</tt><tt class="py-name">month</tt><tt class="py-op">,</tt><tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">da [...]
-</div><a name="L444"></a><tt class="py-lineno"> 444</tt> <tt class="py-line"> </tt>
-<a name="_dateparse"></a><div id="_dateparse-def"><a name="L445"></a><tt class="py-lineno"> 445</tt> <a class="py-toggle" href="#" id="_dateparse-toggle" onclick="return toggle('_dateparse');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#_dateparse">_dateparse</a><tt class="py-op">(</tt><tt class="py-param">timestr</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-</div><div id="_dateparse-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="_dateparse-expanded"><a name="L446"></a><tt class="py-lineno"> 446</tt> <tt class="py-line"> <tt class="py-docstring">"""parse a string of the form time-units since yyyy-mm-dd hh:mm:ss</tt> </tt>
-<a name="L447"></a><tt class="py-lineno"> 447</tt> <tt class="py-line"><tt class="py-docstring"> return a tuple (units, datetimeinstance)"""</tt> </tt>
-<a name="L448"></a><tt class="py-lineno"> 448</tt> <tt class="py-line"> <tt class="py-name">timestr_split</tt> <tt class="py-op">=</tt> <tt class="py-name">timestr</tt><tt class="py-op">.</tt><tt class="py-name">split</tt><tt class="py-op">(</tt><tt class="py-op">)</tt> </tt>
-<a name="L449"></a><tt class="py-lineno"> 449</tt> <tt class="py-line"> <tt class="py-name">units</tt> <tt class="py-op">=</tt> <tt class="py-name">timestr_split</tt><tt class="py-op">[</tt><tt class="py-number">0</tt><tt class="py-op">]</tt><tt class="py-op">.</tt><tt class="py-name">lower</tt><tt class="py-op">(</tt><tt class="py-op">)</tt> </tt>
-<a name="L450"></a><tt class="py-lineno"> 450</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">units</tt> <tt class="py-keyword">not</tt> <tt class="py-keyword">in</tt> <tt id="link-12" class="py-name"><a title="netcdftime.netcdftime._units" class="py-name" href="#" onclick="return doclink('link-12', '_units', 'link-3');">_units</a></tt><tt class="py-op">:</tt> </tt>
-<a name="L451"></a><tt class="py-lineno"> 451</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt><tt class="py-string">"units must be one of 'seconds', 'minutes', 'hours' or 'days' (or singular version of these), got '%s'"</tt> <tt class="py-op">%</tt> <tt class="py-name">units</tt> </tt>
-<a name="L452"></a><tt class="py-lineno"> 452</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">timestr_split</tt><tt class="py-op">[</tt><tt class="py-number">1</tt><tt class="py-op">]</tt><tt class="py-op">.</tt><tt class="py-name">lower</tt><tt class="py-op">(</tt><tt class="py-op">)</tt> <tt class="py-op">!=</tt> <tt class="py-string">'since'</tt><tt class="py-op">:</tt> </tt>
-<a name="L453"></a><tt class="py-lineno"> 453</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt><tt class="py-string">"no 'since' in unit_string"</tt> </tt>
-<a name="L454"></a><tt class="py-lineno"> 454</tt> <tt class="py-line"> <tt class="py-comment"># parse the date string.</tt> </tt>
-<a name="L455"></a><tt class="py-lineno"> 455</tt> <tt class="py-line"> <tt class="py-name">n</tt> <tt class="py-op">=</tt> <tt class="py-name">timestr</tt><tt class="py-op">.</tt><tt class="py-name">find</tt><tt class="py-op">(</tt><tt class="py-string">'since'</tt><tt class="py-op">)</tt><tt class="py-op">+</tt><tt class="py-number">6</tt> </tt>
-<a name="L456"></a><tt class="py-lineno"> 456</tt> <tt class="py-line"> <tt class="py-name">year</tt><tt class="py-op">,</tt><tt class="py-name">month</tt><tt class="py-op">,</tt><tt class="py-name">day</tt><tt class="py-op">,</tt><tt class="py-name">hour</tt><tt class="py-op">,</tt><tt class="py-name">minute</tt><tt class="py-op">,</tt><tt class="py-name">second</tt><tt class="py-op">,</tt><tt class="py-name">utc_offset</tt> <tt class="py-op">=</tt> <tt class="py-name">_parse_date</ [...]
-<a name="L457"></a><tt class="py-lineno"> 457</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">units</tt><tt class="py-op">,</tt> <tt class="py-name">utc_offset</tt><tt class="py-op">,</tt> <tt id="link-13" class="py-name"><a title="netcdftime.netcdftime.datetime" class="py-name" href="#" onclick="return doclink('link-13', 'datetime', 'link-0');">datetime</a></tt><tt class="py-op">(</tt><tt class="py-name">year</tt><tt class="py-op">,</tt> <tt class="p [...]
-</div><a name="L458"></a><tt class="py-lineno"> 458</tt> <tt class="py-line"> </tt>
-<a name="utime"></a><div id="utime-def"><a name="L459"></a><tt class="py-lineno"> 459</tt> <a class="py-toggle" href="#" id="utime-toggle" onclick="return toggle('utime');">-</a><tt class="py-line"><tt class="py-keyword">class</tt> <a class="py-def-name" href="netcdftime.netcdftime.utime-class.html">utime</a><tt class="py-op">:</tt> </tt>
-</div><div id="utime-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="utime-expanded"><a name="L460"></a><tt class="py-lineno"> 460</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L461"></a><tt class="py-lineno"> 461</tt> <tt class="py-line"><tt class="py-docstring">Performs conversions of netCDF time coordinate</tt> </tt>
-<a name="L462"></a><tt class="py-lineno"> 462</tt> <tt class="py-line"><tt class="py-docstring">data to/from datetime objects.</tt> </tt>
-<a name="L463"></a><tt class="py-lineno"> 463</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L464"></a><tt class="py-lineno"> 464</tt> <tt class="py-line"><tt class="py-docstring">To initialize: C{t = utime(unit_string,calendar='standard')}</tt> </tt>
-<a name="L465"></a><tt class="py-lineno"> 465</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L466"></a><tt class="py-lineno"> 466</tt> <tt class="py-line"><tt class="py-docstring">where </tt> </tt>
-<a name="L467"></a><tt class="py-lineno"> 467</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L468"></a><tt class="py-lineno"> 468</tt> <tt class="py-line"><tt class="py-docstring">B{C{unit_string}} is a string of the form</tt> </tt>
-<a name="L469"></a><tt class="py-lineno"> 469</tt> <tt class="py-line"><tt class="py-docstring">C{'time-units since <time-origin>'} defining the time units.</tt> </tt>
-<a name="L470"></a><tt class="py-lineno"> 470</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L471"></a><tt class="py-lineno"> 471</tt> <tt class="py-line"><tt class="py-docstring">Valid time-units are days, hours, minutes and seconds (the singular forms </tt> </tt>
-<a name="L472"></a><tt class="py-lineno"> 472</tt> <tt class="py-line"><tt class="py-docstring">are also accepted). An example unit_string would be C{'hours </tt> </tt>
-<a name="L473"></a><tt class="py-lineno"> 473</tt> <tt class="py-line"><tt class="py-docstring">since 0001-01-01 00:00:00'}.</tt> </tt>
-<a name="L474"></a><tt class="py-lineno"> 474</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L475"></a><tt class="py-lineno"> 475</tt> <tt class="py-line"><tt class="py-docstring">The B{C{calendar}} keyword describes the calendar used in the time calculations. </tt> </tt>
-<a name="L476"></a><tt class="py-lineno"> 476</tt> <tt class="py-line"><tt class="py-docstring">All the values currently defined in the U{CF metadata convention </tt> </tt>
-<a name="L477"></a><tt class="py-lineno"> 477</tt> <tt class="py-line"><tt class="py-docstring"><http://cf-pcmdi.llnl.gov/documents/cf-conventions/1.1/cf-conventions.html#time-coordinate>} </tt> </tt>
-<a name="L478"></a><tt class="py-lineno"> 478</tt> <tt class="py-line"><tt class="py-docstring">are accepted. The default is C{'standard'}, which corresponds to the mixed </tt> </tt>
-<a name="L479"></a><tt class="py-lineno"> 479</tt> <tt class="py-line"><tt class="py-docstring">Gregorian/Julian calendar used by the C{udunits library}. Valid calendars </tt> </tt>
-<a name="L480"></a><tt class="py-lineno"> 480</tt> <tt class="py-line"><tt class="py-docstring">are:</tt> </tt>
-<a name="L481"></a><tt class="py-lineno"> 481</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L482"></a><tt class="py-lineno"> 482</tt> <tt class="py-line"><tt class="py-docstring">C{'gregorian'} or C{'standard'} (default):</tt> </tt>
-<a name="L483"></a><tt class="py-lineno"> 483</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L484"></a><tt class="py-lineno"> 484</tt> <tt class="py-line"><tt class="py-docstring">Mixed Gregorian/Julian calendar as defined by udunits.</tt> </tt>
-<a name="L485"></a><tt class="py-lineno"> 485</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L486"></a><tt class="py-lineno"> 486</tt> <tt class="py-line"><tt class="py-docstring">C{'proleptic_gregorian'}:</tt> </tt>
-<a name="L487"></a><tt class="py-lineno"> 487</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L488"></a><tt class="py-lineno"> 488</tt> <tt class="py-line"><tt class="py-docstring">A Gregorian calendar extended to dates before 1582-10-15. That is, a year </tt> </tt>
-<a name="L489"></a><tt class="py-lineno"> 489</tt> <tt class="py-line"><tt class="py-docstring">is a leap year if either (i) it is divisible by 4 but not by 100 or (ii) </tt> </tt>
-<a name="L490"></a><tt class="py-lineno"> 490</tt> <tt class="py-line"><tt class="py-docstring">it is divisible by 400.</tt> </tt>
-<a name="L491"></a><tt class="py-lineno"> 491</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L492"></a><tt class="py-lineno"> 492</tt> <tt class="py-line"><tt class="py-docstring">C{'noleap'} or C{'365_day'}:</tt> </tt>
-<a name="L493"></a><tt class="py-lineno"> 493</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L494"></a><tt class="py-lineno"> 494</tt> <tt class="py-line"><tt class="py-docstring">Gregorian calendar without leap years, i.e., all years are 365 days long. </tt> </tt>
-<a name="L495"></a><tt class="py-lineno"> 495</tt> <tt class="py-line"><tt class="py-docstring">all_leap or 366_day Gregorian calendar with every year being a leap year, </tt> </tt>
-<a name="L496"></a><tt class="py-lineno"> 496</tt> <tt class="py-line"><tt class="py-docstring">i.e., all years are 366 days long.</tt> </tt>
-<a name="L497"></a><tt class="py-lineno"> 497</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L498"></a><tt class="py-lineno"> 498</tt> <tt class="py-line"><tt class="py-docstring">C{'360_day'}:</tt> </tt>
-<a name="L499"></a><tt class="py-lineno"> 499</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L500"></a><tt class="py-lineno"> 500</tt> <tt class="py-line"><tt class="py-docstring">All years are 360 days divided into 30 day months. </tt> </tt>
-<a name="L501"></a><tt class="py-lineno"> 501</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L502"></a><tt class="py-lineno"> 502</tt> <tt class="py-line"><tt class="py-docstring">C{'julian'}:</tt> </tt>
-<a name="L503"></a><tt class="py-lineno"> 503</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L504"></a><tt class="py-lineno"> 504</tt> <tt class="py-line"><tt class="py-docstring">Proleptic Julian calendar, extended to dates after 1582-10-5. A year is a </tt> </tt>
-<a name="L505"></a><tt class="py-lineno"> 505</tt> <tt class="py-line"><tt class="py-docstring">leap year if it is divisible by 4.</tt> </tt>
-<a name="L506"></a><tt class="py-lineno"> 506</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L507"></a><tt class="py-lineno"> 507</tt> <tt class="py-line"><tt class="py-docstring">The C{L{num2date}} and C{L{date2num}} class methods can used to convert datetime </tt> </tt>
-<a name="L508"></a><tt class="py-lineno"> 508</tt> <tt class="py-line"><tt class="py-docstring">instances to/from the specified time units using the specified calendar.</tt> </tt>
-<a name="L509"></a><tt class="py-lineno"> 509</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L510"></a><tt class="py-lineno"> 510</tt> <tt class="py-line"><tt class="py-docstring">The datetime instances returned by C{num2date} are 'real' python datetime </tt> </tt>
-<a name="L511"></a><tt class="py-lineno"> 511</tt> <tt class="py-line"><tt class="py-docstring">objects if the date falls in the Gregorian calendar (i.e. </tt> </tt>
-<a name="L512"></a><tt class="py-lineno"> 512</tt> <tt class="py-line"><tt class="py-docstring">C{calendar='proleptic_gregorian', 'standard'} or C{'gregorian'} and </tt> </tt>
-<a name="L513"></a><tt class="py-lineno"> 513</tt> <tt class="py-line"><tt class="py-docstring">the date is after 1582-10-15). Otherwise, they are 'phony' datetime </tt> </tt>
-<a name="L514"></a><tt class="py-lineno"> 514</tt> <tt class="py-line"><tt class="py-docstring">objects which are actually instances of C{L{netcdftime.datetime}}. This is </tt> </tt>
-<a name="L515"></a><tt class="py-lineno"> 515</tt> <tt class="py-line"><tt class="py-docstring">because the python datetime module cannot handle the weird dates in some </tt> </tt>
-<a name="L516"></a><tt class="py-lineno"> 516</tt> <tt class="py-line"><tt class="py-docstring">calendars (such as C{'360_day'} and C{'all_leap'}) which don't exist in any real </tt> </tt>
-<a name="L517"></a><tt class="py-lineno"> 517</tt> <tt class="py-line"><tt class="py-docstring">world calendar.</tt> </tt>
-<a name="L518"></a><tt class="py-lineno"> 518</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L519"></a><tt class="py-lineno"> 519</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L520"></a><tt class="py-lineno"> 520</tt> <tt class="py-line"><tt class="py-docstring">Example usage:</tt> </tt>
-<a name="L521"></a><tt class="py-lineno"> 521</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L522"></a><tt class="py-lineno"> 522</tt> <tt class="py-line"><tt class="py-docstring">>>> from netcdftime import utime</tt> </tt>
-<a name="L523"></a><tt class="py-lineno"> 523</tt> <tt class="py-line"><tt class="py-docstring">>>> from datetime import datetime</tt> </tt>
-<a name="L524"></a><tt class="py-lineno"> 524</tt> <tt class="py-line"><tt class="py-docstring">>>> cdftime = utime('hours since 0001-01-01 00:00:00')</tt> </tt>
-<a name="L525"></a><tt class="py-lineno"> 525</tt> <tt class="py-line"><tt class="py-docstring">>>> date = datetime.now()</tt> </tt>
-<a name="L526"></a><tt class="py-lineno"> 526</tt> <tt class="py-line"><tt class="py-docstring">>>> print date</tt> </tt>
-<a name="L527"></a><tt class="py-lineno"> 527</tt> <tt class="py-line"><tt class="py-docstring">2006-03-17 16:04:02.561678</tt> </tt>
-<a name="L528"></a><tt class="py-lineno"> 528</tt> <tt class="py-line"><tt class="py-docstring">>>></tt> </tt>
-<a name="L529"></a><tt class="py-lineno"> 529</tt> <tt class="py-line"><tt class="py-docstring">>>> t = cdftime.date2num(date)</tt> </tt>
-<a name="L530"></a><tt class="py-lineno"> 530</tt> <tt class="py-line"><tt class="py-docstring">>>> print t</tt> </tt>
-<a name="L531"></a><tt class="py-lineno"> 531</tt> <tt class="py-line"><tt class="py-docstring">17577328.0672</tt> </tt>
-<a name="L532"></a><tt class="py-lineno"> 532</tt> <tt class="py-line"><tt class="py-docstring">>>></tt> </tt>
-<a name="L533"></a><tt class="py-lineno"> 533</tt> <tt class="py-line"><tt class="py-docstring">>>> date = cdftime.num2date(t)</tt> </tt>
-<a name="L534"></a><tt class="py-lineno"> 534</tt> <tt class="py-line"><tt class="py-docstring">>>> print date</tt> </tt>
-<a name="L535"></a><tt class="py-lineno"> 535</tt> <tt class="py-line"><tt class="py-docstring">2006-03-17 16:04:02</tt> </tt>
-<a name="L536"></a><tt class="py-lineno"> 536</tt> <tt class="py-line"><tt class="py-docstring">>>></tt> </tt>
-<a name="L537"></a><tt class="py-lineno"> 537</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L538"></a><tt class="py-lineno"> 538</tt> <tt class="py-line"><tt class="py-docstring">The resolution of the transformation operation is 1 second.</tt> </tt>
-<a name="L539"></a><tt class="py-lineno"> 539</tt> <tt class="py-line"><tt class="py-docstring"> </tt> </tt>
-<a name="L540"></a><tt class="py-lineno"> 540</tt> <tt class="py-line"><tt class="py-docstring">Warning: Dates between 1582-10-5 and 1582-10-15 do not exist in the </tt> </tt>
-<a name="L541"></a><tt class="py-lineno"> 541</tt> <tt class="py-line"><tt class="py-docstring">C{'standard'} or C{'gregorian'} calendars. An exception will be raised if you pass </tt> </tt>
-<a name="L542"></a><tt class="py-lineno"> 542</tt> <tt class="py-line"><tt class="py-docstring">a 'datetime-like' object in that range to the C{L{date2num}} class method.</tt> </tt>
-<a name="L543"></a><tt class="py-lineno"> 543</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L544"></a><tt class="py-lineno"> 544</tt> <tt class="py-line"><tt class="py-docstring">Words of Wisdom from the British MetOffice concerning reference dates:</tt> </tt>
-<a name="L545"></a><tt class="py-lineno"> 545</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L546"></a><tt class="py-lineno"> 546</tt> <tt class="py-line"><tt class="py-docstring">"udunits implements the mixed Gregorian/Julian calendar system, as </tt> </tt>
-<a name="L547"></a><tt class="py-lineno"> 547</tt> <tt class="py-line"><tt class="py-docstring">followed in England, in which dates prior to 1582-10-15 are assumed to use </tt> </tt>
-<a name="L548"></a><tt class="py-lineno"> 548</tt> <tt class="py-line"><tt class="py-docstring">the Julian calendar. Other software cannot be relied upon to handle the </tt> </tt>
-<a name="L549"></a><tt class="py-lineno"> 549</tt> <tt class="py-line"><tt class="py-docstring">change of calendar in the same way, so for robustness it is recommended </tt> </tt>
-<a name="L550"></a><tt class="py-lineno"> 550</tt> <tt class="py-line"><tt class="py-docstring">that the reference date be later than 1582. If earlier dates must be used, </tt> </tt>
-<a name="L551"></a><tt class="py-lineno"> 551</tt> <tt class="py-line"><tt class="py-docstring">it should be noted that udunits treats 0 AD as identical to 1 AD."</tt> </tt>
-<a name="L552"></a><tt class="py-lineno"> 552</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L553"></a><tt class="py-lineno"> 553</tt> <tt class="py-line"><tt class="py-docstring">@ivar origin: datetime instance defining the origin of the netCDF time variable.</tt> </tt>
-<a name="L554"></a><tt class="py-lineno"> 554</tt> <tt class="py-line"><tt class="py-docstring">@ivar calendar: the calendar used (as specified by the C{calendar} keyword).</tt> </tt>
-<a name="L555"></a><tt class="py-lineno"> 555</tt> <tt class="py-line"><tt class="py-docstring">@ivar unit_string: a string defining the the netCDF time variable.</tt> </tt>
-<a name="L556"></a><tt class="py-lineno"> 556</tt> <tt class="py-line"><tt class="py-docstring">@ivar units: the units part of C{unit_string} (i.e. 'days', 'hours', 'seconds').</tt> </tt>
-<a name="L557"></a><tt class="py-lineno"> 557</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="utime.__init__"></a><div id="utime.__init__-def"><a name="L558"></a><tt class="py-lineno"> 558</tt> <a class="py-toggle" href="#" id="utime.__init__-toggle" onclick="return toggle('utime.__init__');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime.utime-class.html#__init__">__init__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt><tt class="py-param">unit_string</tt><tt class="py-op" [...]
-</div><div id="utime.__init__-collapsed" style="display:none;" pad="++++" indent="++++++++"></div><div id="utime.__init__-expanded"><a name="L559"></a><tt class="py-lineno"> 559</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L560"></a><tt class="py-lineno"> 560</tt> <tt class="py-line"><tt class="py-docstring">@param unit_string: a string of the form</tt> </tt>
-<a name="L561"></a><tt class="py-lineno"> 561</tt> <tt class="py-line"><tt class="py-docstring">C{'time-units since <time-origin>'} defining the time units.</tt> </tt>
-<a name="L562"></a><tt class="py-lineno"> 562</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L563"></a><tt class="py-lineno"> 563</tt> <tt class="py-line"><tt class="py-docstring">Valid time-units are days, hours, minutes and seconds (the singular forms </tt> </tt>
-<a name="L564"></a><tt class="py-lineno"> 564</tt> <tt class="py-line"><tt class="py-docstring">are also accepted). An example unit_string would be C{'hours </tt> </tt>
-<a name="L565"></a><tt class="py-lineno"> 565</tt> <tt class="py-line"><tt class="py-docstring">since 0001-01-01 00:00:00'}.</tt> </tt>
-<a name="L566"></a><tt class="py-lineno"> 566</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L567"></a><tt class="py-lineno"> 567</tt> <tt class="py-line"><tt class="py-docstring">@keyword calendar: describes the calendar used in the time calculations. </tt> </tt>
-<a name="L568"></a><tt class="py-lineno"> 568</tt> <tt class="py-line"><tt class="py-docstring">All the values currently defined in the U{CF metadata convention </tt> </tt>
-<a name="L569"></a><tt class="py-lineno"> 569</tt> <tt class="py-line"><tt class="py-docstring"><http://cf-pcmdi.llnl.gov/documents/cf-conventions/1.1/cf-conventions.html#time-coordinate>}</tt> </tt>
-<a name="L570"></a><tt class="py-lineno"> 570</tt> <tt class="py-line"><tt class="py-docstring">are accepted. The default is C{'standard'}, which corresponds to the mixed </tt> </tt>
-<a name="L571"></a><tt class="py-lineno"> 571</tt> <tt class="py-line"><tt class="py-docstring">Gregorian/Julian calendar used by the C{udunits library}. Valid calendars </tt> </tt>
-<a name="L572"></a><tt class="py-lineno"> 572</tt> <tt class="py-line"><tt class="py-docstring">are:</tt> </tt>
-<a name="L573"></a><tt class="py-lineno"> 573</tt> <tt class="py-line"><tt class="py-docstring"> - C{'gregorian'} or C{'standard'} (default):</tt> </tt>
-<a name="L574"></a><tt class="py-lineno"> 574</tt> <tt class="py-line"><tt class="py-docstring"> Mixed Gregorian/Julian calendar as defined by udunits.</tt> </tt>
-<a name="L575"></a><tt class="py-lineno"> 575</tt> <tt class="py-line"><tt class="py-docstring"> - C{'proleptic_gregorian'}:</tt> </tt>
-<a name="L576"></a><tt class="py-lineno"> 576</tt> <tt class="py-line"><tt class="py-docstring"> A Gregorian calendar extended to dates before 1582-10-15. That is, a year </tt> </tt>
-<a name="L577"></a><tt class="py-lineno"> 577</tt> <tt class="py-line"><tt class="py-docstring"> is a leap year if either (i) it is divisible by 4 but not by 100 or (ii) </tt> </tt>
-<a name="L578"></a><tt class="py-lineno"> 578</tt> <tt class="py-line"><tt class="py-docstring"> it is divisible by 400.</tt> </tt>
-<a name="L579"></a><tt class="py-lineno"> 579</tt> <tt class="py-line"><tt class="py-docstring"> - C{'noleap'} or C{'365_day'}:</tt> </tt>
-<a name="L580"></a><tt class="py-lineno"> 580</tt> <tt class="py-line"><tt class="py-docstring"> Gregorian calendar without leap years, i.e., all years are 365 days long. </tt> </tt>
-<a name="L581"></a><tt class="py-lineno"> 581</tt> <tt class="py-line"><tt class="py-docstring"> - C{'all_leap'} or C{'366_day'}: </tt> </tt>
-<a name="L582"></a><tt class="py-lineno"> 582</tt> <tt class="py-line"><tt class="py-docstring"> Gregorian calendar with every year being a leap year, i.e.,</tt> </tt>
-<a name="L583"></a><tt class="py-lineno"> 583</tt> <tt class="py-line"><tt class="py-docstring"> all years are 366 days long.</tt> </tt>
-<a name="L584"></a><tt class="py-lineno"> 584</tt> <tt class="py-line"><tt class="py-docstring"> -C{'360_day'}:</tt> </tt>
-<a name="L585"></a><tt class="py-lineno"> 585</tt> <tt class="py-line"><tt class="py-docstring"> All years are 360 days divided into 30 day months. </tt> </tt>
-<a name="L586"></a><tt class="py-lineno"> 586</tt> <tt class="py-line"><tt class="py-docstring"> -C{'julian'}:</tt> </tt>
-<a name="L587"></a><tt class="py-lineno"> 587</tt> <tt class="py-line"><tt class="py-docstring"> Proleptic Julian calendar, extended to dates after 1582-10-5. A year is a </tt> </tt>
-<a name="L588"></a><tt class="py-lineno"> 588</tt> <tt class="py-line"><tt class="py-docstring"> leap year if it is divisible by 4.</tt> </tt>
-<a name="L589"></a><tt class="py-lineno"> 589</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L590"></a><tt class="py-lineno"> 590</tt> <tt class="py-line"><tt class="py-docstring">@returns: A class instance which may be used for converting times from netCDF</tt> </tt>
-<a name="L591"></a><tt class="py-lineno"> 591</tt> <tt class="py-line"><tt class="py-docstring">units to datetime objects.</tt> </tt>
-<a name="L592"></a><tt class="py-lineno"> 592</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L593"></a><tt class="py-lineno"> 593</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">calendar</tt> <tt class="py-keyword">in</tt> <tt id="link-14" class="py-name"><a title="netcdftime.netcdftime._calendars" class="py-name" href="#" onclick="return doclink('link-14', '_calendars', 'link-4');">_calendars</a></tt><tt class="py-op">:</tt> </tt>
-<a name="L594"></a><tt class="py-lineno"> 594</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">calendar</tt> <tt class="py-op">=</tt> <tt class="py-name">calendar</tt> </tt>
-<a name="L595"></a><tt class="py-lineno"> 595</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L596"></a><tt class="py-lineno"> 596</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">"calendar must be one of %s, got '%s'"</tt> <tt class="py-op">%</tt> <tt class="py-op">(</tt><tt class="py-name">str</tt><tt class="py-op">(</tt><tt id="link-15" class="py-name"><a title="netcdftime.netcdftime._calendars" class="py-name" href="#" onclick="return doclink('link-15', '_calendar [...]
-<a name="L597"></a><tt class="py-lineno"> 597</tt> <tt class="py-line"> <tt class="py-name">units</tt><tt class="py-op">,</tt> <tt class="py-name">tzoffset</tt><tt class="py-op">,</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">origin</tt> <tt class="py-op">=</tt> <tt class="py-name">_dateparse</tt><tt class="py-op">(</tt><tt class="py-name">unit_string</tt><tt class="py-op">)</tt> </tt>
-<a name="L598"></a><tt class="py-lineno"> 598</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">tzoffset</tt> <tt class="py-op">=</tt> <tt class="py-name">tzoffset</tt> <tt class="py-comment"># time zone offset in minutes</tt> </tt>
-<a name="L599"></a><tt class="py-lineno"> 599</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">units</tt> <tt class="py-op">=</tt> <tt class="py-name">units</tt> </tt>
-<a name="L600"></a><tt class="py-lineno"> 600</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">unit_string</tt> <tt class="py-op">=</tt> <tt class="py-name">unit_string</tt> </tt>
-<a name="L601"></a><tt class="py-lineno"> 601</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">calendar</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'noleap'</tt><tt class="py-op">,</tt><tt class="py-string">'365_day'</tt><tt class="py-op">]</tt> <tt class="py-keyword">and</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">origin</tt><tt [...]
-<a name="L602"></a><tt class="py-lineno"> 602</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">'cannot specify a leap day as the reference time with the noleap calendar'</tt> </tt>
-<a name="L603"></a><tt class="py-lineno"> 603</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">calendar</tt> <tt class="py-op">==</tt> <tt class="py-string">'360_day'</tt> <tt class="py-keyword">and</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">origin</tt><tt class="py-op">.</tt><tt class="py-name">day</tt> <tt class="py-op">></tt> <tt class="py-number">30</tt><tt c [...]
-<a name="L604"></a><tt class="py-lineno"> 604</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">'there are only 30 days in every month with the 360_day calendar'</tt> </tt>
-<a name="L605"></a><tt class="py-lineno"> 605</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">calendar</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'noleap'</tt><tt class="py-op">,</tt><tt class="py-string">'365_day'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L606"></a><tt class="py-lineno"> 606</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_jd0</tt> <tt class="py-op">=</tt> <tt class="py-name">_NoLeapDayFromDate</tt><tt class="py-op">(</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">origin</tt><tt class="py-op">)</tt> </tt>
-<a name="L607"></a><tt class="py-lineno"> 607</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">calendar</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'all_leap'</tt><tt class="py-op">,</tt><tt class="py-string">'366_day'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L608"></a><tt class="py-lineno"> 608</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_jd0</tt> <tt class="py-op">=</tt> <tt class="py-name">_AllLeapFromDate</tt><tt class="py-op">(</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">origin</tt><tt class="py-op">)</tt> </tt>
-<a name="L609"></a><tt class="py-lineno"> 609</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">calendar</tt> <tt class="py-op">==</tt> <tt class="py-string">'360_day'</tt><tt class="py-op">:</tt> </tt>
-<a name="L610"></a><tt class="py-lineno"> 610</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_jd0</tt> <tt class="py-op">=</tt> <tt class="py-name">_360DayFromDate</tt><tt class="py-op">(</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">origin</tt><tt class="py-op">)</tt> </tt>
-<a name="L611"></a><tt class="py-lineno"> 611</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L612"></a><tt class="py-lineno"> 612</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_jd0</tt> <tt class="py-op">=</tt> <tt id="link-16" class="py-name" targets="Function netcdftime.netcdftime.JulianDayFromDate()=netcdftime.netcdftime-module.html#JulianDayFromDate"><a title="netcdftime.netcdftime.JulianDayFromDate" class="py-name" href="#" onclick="return doclink('link-16', 'JulianDayFromDate', 'link-16');">JulianDay [...]
-</div><a name="L613"></a><tt class="py-lineno"> 613</tt> <tt class="py-line"> </tt>
-<a name="utime.date2num"></a><div id="utime.date2num-def"><a name="L614"></a><tt class="py-lineno"> 614</tt> <a class="py-toggle" href="#" id="utime.date2num-toggle" onclick="return toggle('utime.date2num');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime.utime-class.html#date2num">date2num</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt><tt class="py-param">date</tt><tt class="py-op">)</tt> [...]
-</div><div id="utime.date2num-collapsed" style="display:none;" pad="++++" indent="++++++++"></div><div id="utime.date2num-expanded"><a name="L615"></a><tt class="py-lineno"> 615</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L616"></a><tt class="py-lineno"> 616</tt> <tt class="py-line"><tt class="py-docstring">Returns C{time_value} in units described by L{unit_string}, using</tt> </tt>
-<a name="L617"></a><tt class="py-lineno"> 617</tt> <tt class="py-line"><tt class="py-docstring">the specified L{calendar}, given a 'datetime-like' object.</tt> </tt>
-<a name="L618"></a><tt class="py-lineno"> 618</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L619"></a><tt class="py-lineno"> 619</tt> <tt class="py-line"><tt class="py-docstring">The datetime object must represent UTC with no time-zone offset.</tt> </tt>
-<a name="L620"></a><tt class="py-lineno"> 620</tt> <tt class="py-line"><tt class="py-docstring">If there is a time-zone offset implied by L{unit_string}, it will</tt> </tt>
-<a name="L621"></a><tt class="py-lineno"> 621</tt> <tt class="py-line"><tt class="py-docstring">be applied to the returned numeric values.</tt> </tt>
-<a name="L622"></a><tt class="py-lineno"> 622</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L623"></a><tt class="py-lineno"> 623</tt> <tt class="py-line"><tt class="py-docstring">Resolution is 1 second.</tt> </tt>
-<a name="L624"></a><tt class="py-lineno"> 624</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L625"></a><tt class="py-lineno"> 625</tt> <tt class="py-line"><tt class="py-docstring">If C{calendar = 'standard'} or C{'gregorian'} (indicating</tt> </tt>
-<a name="L626"></a><tt class="py-lineno"> 626</tt> <tt class="py-line"><tt class="py-docstring">that the mixed Julian/Gregorian calendar is to be used), an</tt> </tt>
-<a name="L627"></a><tt class="py-lineno"> 627</tt> <tt class="py-line"><tt class="py-docstring">exception will be raised if the 'datetime-like' object describes</tt> </tt>
-<a name="L628"></a><tt class="py-lineno"> 628</tt> <tt class="py-line"><tt class="py-docstring">a date between 1582-10-5 and 1582-10-15.</tt> </tt>
-<a name="L629"></a><tt class="py-lineno"> 629</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L630"></a><tt class="py-lineno"> 630</tt> <tt class="py-line"><tt class="py-docstring">Works for scalars, sequences and numpy arrays.</tt> </tt>
-<a name="L631"></a><tt class="py-lineno"> 631</tt> <tt class="py-line"><tt class="py-docstring">Returns a scalar if input is a scalar, else returns a numpy array.</tt> </tt>
-<a name="L632"></a><tt class="py-lineno"> 632</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L633"></a><tt class="py-lineno"> 633</tt> <tt class="py-line"> <tt class="py-name">isscalar</tt> <tt class="py-op">=</tt> <tt class="py-name">False</tt> </tt>
-<a name="L634"></a><tt class="py-lineno"> 634</tt> <tt class="py-line"> <tt class="py-keyword">try</tt><tt class="py-op">:</tt> </tt>
-<a name="L635"></a><tt class="py-lineno"> 635</tt> <tt class="py-line"> <tt class="py-name">date</tt><tt class="py-op">[</tt><tt class="py-number">0</tt><tt class="py-op">]</tt> </tt>
-<a name="L636"></a><tt class="py-lineno"> 636</tt> <tt class="py-line"> <tt class="py-keyword">except</tt><tt class="py-op">:</tt> </tt>
-<a name="L637"></a><tt class="py-lineno"> 637</tt> <tt class="py-line"> <tt class="py-name">isscalar</tt> <tt class="py-op">=</tt> <tt class="py-name">True</tt> </tt>
-<a name="L638"></a><tt class="py-lineno"> 638</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-keyword">not</tt> <tt class="py-name">isscalar</tt><tt class="py-op">:</tt> </tt>
-<a name="L639"></a><tt class="py-lineno"> 639</tt> <tt class="py-line"> <tt class="py-name">date</tt> <tt class="py-op">=</tt> <tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">array</tt><tt class="py-op">(</tt><tt class="py-name">date</tt><tt class="py-op">)</tt> </tt>
-<a name="L640"></a><tt class="py-lineno"> 640</tt> <tt class="py-line"> <tt id="link-17" class="py-name" targets="Variable netCDF3.Variable.shape=netCDF3.Variable-class.html#shape,Variable netCDF4.Variable.shape=netCDF4.Variable-class.html#shape"><a title="netCDF3.Variable.shape
-netCDF4.Variable.shape" class="py-name" href="#" onclick="return doclink('link-17', 'shape', 'link-17');">shape</a></tt> <tt class="py-op">=</tt> <tt class="py-name">date</tt><tt class="py-op">.</tt><tt id="link-18" class="py-name"><a title="netCDF3.Variable.shape
-netCDF4.Variable.shape" class="py-name" href="#" onclick="return doclink('link-18', 'shape', 'link-17');">shape</a></tt> </tt>
-<a name="L641"></a><tt class="py-lineno"> 641</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">calendar</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'julian'</tt><tt class="py-op">,</tt><tt class="py-string">'standard'</tt><tt class="py-op">,</tt><tt class="py-string">'gregorian'</tt><tt class="py-op">,</tt><tt class="py-string">'proleptic_gregorian'</tt><tt class [...]
-<a name="L642"></a><tt class="py-lineno"> 642</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">isscalar</tt><tt class="py-op">:</tt> </tt>
-<a name="L643"></a><tt class="py-lineno"> 643</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt id="link-19" class="py-name"><a title="netcdftime.netcdftime.JulianDayFromDate" class="py-name" href="#" onclick="return doclink('link-19', 'JulianDayFromDate', 'link-16');">JulianDayFromDate</a></tt><tt class="py-op">(</tt><tt class="py-name">date</tt><tt class="py-op">,</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py [...]
-<a name="L644"></a><tt class="py-lineno"> 644</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L645"></a><tt class="py-lineno"> 645</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-op">[</tt><tt id="link-20" class="py-name"><a title="netcdftime.netcdftime.JulianDayFromDate" class="py-name" href="#" onclick="return doclink('link-20', 'JulianDayFromDate', 'link-16');">JulianDayFromDate</a></tt><tt class="py-op">(</tt><tt class="py-name">d</tt><tt class="py-op">,</tt><tt class="py-name">self</tt><tt class="py-op [...]
-<a name="L646"></a><tt class="py-lineno"> 646</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">calendar</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'noleap'</tt><tt class="py-op">,</tt><tt class="py-string">'365_day'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L647"></a><tt class="py-lineno"> 647</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">isscalar</tt><tt class="py-op">:</tt> </tt>
-<a name="L648"></a><tt class="py-lineno"> 648</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">month</tt> <tt class="py-op">==</tt> <tt class="py-number">2</tt> <tt class="py-keyword">and</tt> <tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">day</tt> <tt class="py-op">==</tt> <tt class="py-number">29</tt><tt class="py-op">:</tt> </tt>
-<a name="L649"></a><tt class="py-lineno"> 649</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">'there is no leap day in the noleap calendar'</tt> </tt>
-<a name="L650"></a><tt class="py-lineno"> 650</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-name">_NoLeapDayFromDate</tt><tt class="py-op">(</tt><tt class="py-name">date</tt><tt class="py-op">)</tt> <tt class="py-op">-</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_jd0</tt> </tt>
-<a name="L651"></a><tt class="py-lineno"> 651</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L652"></a><tt class="py-lineno"> 652</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-op">[</tt><tt class="py-op">]</tt> </tt>
-<a name="L653"></a><tt class="py-lineno"> 653</tt> <tt class="py-line"> <tt class="py-keyword">for</tt> <tt class="py-name">d</tt> <tt class="py-keyword">in</tt> <tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">flat</tt><tt class="py-op">:</tt> </tt>
-<a name="L654"></a><tt class="py-lineno"> 654</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">d</tt><tt class="py-op">.</tt><tt class="py-name">month</tt> <tt class="py-op">==</tt> <tt class="py-number">2</tt> <tt class="py-keyword">and</tt> <tt class="py-name">d</tt><tt class="py-op">.</tt><tt class="py-name">day</tt> <tt class="py-op">==</tt> <tt class="py-number">29</tt><tt class="py-op">:</tt> </tt>
-<a name="L655"></a><tt class="py-lineno"> 655</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">'there is no leap day in the noleap calendar'</tt> </tt>
-<a name="L656"></a><tt class="py-lineno"> 656</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt><tt class="py-op">.</tt><tt class="py-name">append</tt><tt class="py-op">(</tt><tt class="py-name">_NoLeapDayFromDate</tt><tt class="py-op">(</tt><tt class="py-name">d</tt><tt class="py-op">)</tt><tt class="py-op">-</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_jd0</tt><tt class="py-op">)</tt> </tt>
-<a name="L657"></a><tt class="py-lineno"> 657</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">calendar</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'all_leap'</tt><tt class="py-op">,</tt><tt class="py-string">'366_day'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L658"></a><tt class="py-lineno"> 658</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">isscalar</tt><tt class="py-op">:</tt> </tt>
-<a name="L659"></a><tt class="py-lineno"> 659</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-name">_AllLeapFromDate</tt><tt class="py-op">(</tt><tt class="py-name">date</tt><tt class="py-op">)</tt> <tt class="py-op">-</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_jd0</tt> </tt>
-<a name="L660"></a><tt class="py-lineno"> 660</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L661"></a><tt class="py-lineno"> 661</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-op">[</tt><tt class="py-name">_AllLeapFromDate</tt><tt class="py-op">(</tt><tt class="py-name">d</tt><tt class="py-op">)</tt><tt class="py-op">-</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_jd0</tt> <tt class="py-keyword">for</tt> <tt class="py-name">d</tt> <tt class="py-keyword">in</tt> <tt class=" [...]
-<a name="L662"></a><tt class="py-lineno"> 662</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">calendar</tt> <tt class="py-op">==</tt> <tt class="py-string">'360_day'</tt><tt class="py-op">:</tt> </tt>
-<a name="L663"></a><tt class="py-lineno"> 663</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">calendar</tt> <tt class="py-op">==</tt> <tt class="py-string">'360_day'</tt> <tt class="py-keyword">and</tt> <tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">day</tt> <tt class="py-op">></tt> <tt class="py-number">30</tt><tt class="py-op">:</tt> </tt>
-<a name="L664"></a><tt class="py-lineno"> 664</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">'there are only 30 days in every month with the 360_day calendar'</tt> </tt>
-<a name="L665"></a><tt class="py-lineno"> 665</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">isscalar</tt><tt class="py-op">:</tt> </tt>
-<a name="L666"></a><tt class="py-lineno"> 666</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-name">_360DayFromDate</tt><tt class="py-op">(</tt><tt class="py-name">date</tt><tt class="py-op">)</tt> <tt class="py-op">-</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_jd0</tt> </tt>
-<a name="L667"></a><tt class="py-lineno"> 667</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L668"></a><tt class="py-lineno"> 668</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-op">[</tt><tt class="py-name">_360DayFromDate</tt><tt class="py-op">(</tt><tt class="py-name">d</tt><tt class="py-op">)</tt><tt class="py-op">-</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_jd0</tt> <tt class="py-keyword">for</tt> <tt class="py-name">d</tt> <tt class="py-keyword">in</tt> <tt class="p [...]
-<a name="L669"></a><tt class="py-lineno"> 669</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-keyword">not</tt> <tt class="py-name">isscalar</tt><tt class="py-op">:</tt> </tt>
-<a name="L670"></a><tt class="py-lineno"> 670</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">array</tt><tt class="py-op">(</tt><tt class="py-name">jdelta</tt><tt class="py-op">)</tt> </tt>
-<a name="L671"></a><tt class="py-lineno"> 671</tt> <tt class="py-line"> <tt class="py-comment"># convert to desired units, add time zone offset.</tt> </tt>
-<a name="L672"></a><tt class="py-lineno"> 672</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">units</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'second'</tt><tt class="py-op">,</tt><tt class="py-string">'seconds'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L673"></a><tt class="py-lineno"> 673</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-name">jdelta</tt><tt class="py-op">*</tt><tt class="py-number">86400.</tt> <tt class="py-op">+</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">tzoffset</tt><tt class="py-op">*</tt><tt class="py-number">60.</tt> </tt>
-<a name="L674"></a><tt class="py-lineno"> 674</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">units</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'minute'</tt><tt class="py-op">,</tt><tt class="py-string">'minutes'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L675"></a><tt class="py-lineno"> 675</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-name">jdelta</tt><tt class="py-op">*</tt><tt class="py-number">1440.</tt> <tt class="py-op">+</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">tzoffset</tt> </tt>
-<a name="L676"></a><tt class="py-lineno"> 676</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">units</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'hour'</tt><tt class="py-op">,</tt><tt class="py-string">'hours'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L677"></a><tt class="py-lineno"> 677</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-name">jdelta</tt><tt class="py-op">*</tt><tt class="py-number">24.</tt> <tt class="py-op">+</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">tzoffset</tt><tt class="py-op">/</tt><tt class="py-number">60.</tt> </tt>
-<a name="L678"></a><tt class="py-lineno"> 678</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">units</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'day'</tt><tt class="py-op">,</tt><tt class="py-string">'days'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L679"></a><tt class="py-lineno"> 679</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-name">jdelta</tt> <tt class="py-op">+</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">tzoffset</tt><tt class="py-op">/</tt><tt class="py-number">1440.</tt> </tt>
-<a name="L680"></a><tt class="py-lineno"> 680</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">isscalar</tt><tt class="py-op">:</tt> </tt>
-<a name="L681"></a><tt class="py-lineno"> 681</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">jdelta</tt> </tt>
-<a name="L682"></a><tt class="py-lineno"> 682</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L683"></a><tt class="py-lineno"> 683</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">reshape</tt><tt class="py-op">(</tt><tt class="py-name">jdelta</tt><tt class="py-op">,</tt><tt id="link-21" class="py-name"><a title="netCDF3.Variable.shape
-netCDF4.Variable.shape" class="py-name" href="#" onclick="return doclink('link-21', 'shape', 'link-17');">shape</a></tt><tt class="py-op">)</tt> </tt>
-</div><a name="L684"></a><tt class="py-lineno"> 684</tt> <tt class="py-line"> </tt>
-<a name="utime.num2date"></a><div id="utime.num2date-def"><a name="L685"></a><tt class="py-lineno"> 685</tt> <a class="py-toggle" href="#" id="utime.num2date-toggle" onclick="return toggle('utime.num2date');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime.utime-class.html#num2date">num2date</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt><tt class="py-param">time_value</tt><tt class="py-op"> [...]
-</div><div id="utime.num2date-collapsed" style="display:none;" pad="++++" indent="++++++++"></div><div id="utime.num2date-expanded"><a name="L686"></a><tt class="py-lineno"> 686</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L687"></a><tt class="py-lineno"> 687</tt> <tt class="py-line"><tt class="py-docstring">Return a 'datetime-like' object given a C{time_value} in units</tt> </tt>
-<a name="L688"></a><tt class="py-lineno"> 688</tt> <tt class="py-line"><tt class="py-docstring">described by L{unit_string}, using L{calendar}.</tt> </tt>
-<a name="L689"></a><tt class="py-lineno"> 689</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L690"></a><tt class="py-lineno"> 690</tt> <tt class="py-line"><tt class="py-docstring">dates are in UTC with no offset, even if L{unit_string} contains</tt> </tt>
-<a name="L691"></a><tt class="py-lineno"> 691</tt> <tt class="py-line"><tt class="py-docstring">a time zone offset from UTC.</tt> </tt>
-<a name="L692"></a><tt class="py-lineno"> 692</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L693"></a><tt class="py-lineno"> 693</tt> <tt class="py-line"><tt class="py-docstring">Resolution is 1 second.</tt> </tt>
-<a name="L694"></a><tt class="py-lineno"> 694</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L695"></a><tt class="py-lineno"> 695</tt> <tt class="py-line"><tt class="py-docstring">Works for scalars, sequences and numpy arrays.</tt> </tt>
-<a name="L696"></a><tt class="py-lineno"> 696</tt> <tt class="py-line"><tt class="py-docstring">Returns a scalar if input is a scalar, else returns a numpy array.</tt> </tt>
-<a name="L697"></a><tt class="py-lineno"> 697</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L698"></a><tt class="py-lineno"> 698</tt> <tt class="py-line"><tt class="py-docstring">The datetime instances returned by C{num2date} are 'real' python datetime </tt> </tt>
-<a name="L699"></a><tt class="py-lineno"> 699</tt> <tt class="py-line"><tt class="py-docstring">objects if the date falls in the Gregorian calendar (i.e. </tt> </tt>
-<a name="L700"></a><tt class="py-lineno"> 700</tt> <tt class="py-line"><tt class="py-docstring">C{calendar='proleptic_gregorian'}, or C{calendar = 'standard'/'gregorian'} and </tt> </tt>
-<a name="L701"></a><tt class="py-lineno"> 701</tt> <tt class="py-line"><tt class="py-docstring">the date is after 1582-10-15). Otherwise, they are 'phony' datetime </tt> </tt>
-<a name="L702"></a><tt class="py-lineno"> 702</tt> <tt class="py-line"><tt class="py-docstring">objects which are actually instances of netcdftime.datetime. This is </tt> </tt>
-<a name="L703"></a><tt class="py-lineno"> 703</tt> <tt class="py-line"><tt class="py-docstring">because the python datetime module cannot handle the weird dates in some </tt> </tt>
-<a name="L704"></a><tt class="py-lineno"> 704</tt> <tt class="py-line"><tt class="py-docstring">calendars (such as C{'360_day'} and C{'all_leap'}) which </tt> </tt>
-<a name="L705"></a><tt class="py-lineno"> 705</tt> <tt class="py-line"><tt class="py-docstring">do not exist in any real world calendar.</tt> </tt>
-<a name="L706"></a><tt class="py-lineno"> 706</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L707"></a><tt class="py-lineno"> 707</tt> <tt class="py-line"> <tt class="py-name">isscalar</tt> <tt class="py-op">=</tt> <tt class="py-name">False</tt> </tt>
-<a name="L708"></a><tt class="py-lineno"> 708</tt> <tt class="py-line"> <tt class="py-keyword">try</tt><tt class="py-op">:</tt> </tt>
-<a name="L709"></a><tt class="py-lineno"> 709</tt> <tt class="py-line"> <tt class="py-name">time_value</tt><tt class="py-op">[</tt><tt class="py-number">0</tt><tt class="py-op">]</tt> </tt>
-<a name="L710"></a><tt class="py-lineno"> 710</tt> <tt class="py-line"> <tt class="py-keyword">except</tt><tt class="py-op">:</tt> </tt>
-<a name="L711"></a><tt class="py-lineno"> 711</tt> <tt class="py-line"> <tt class="py-name">isscalar</tt> <tt class="py-op">=</tt> <tt class="py-name">True</tt> </tt>
-<a name="L712"></a><tt class="py-lineno"> 712</tt> <tt class="py-line"> <tt class="py-name">ismasked</tt> <tt class="py-op">=</tt> <tt class="py-name">False</tt> </tt>
-<a name="L713"></a><tt class="py-lineno"> 713</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">hasattr</tt><tt class="py-op">(</tt><tt class="py-name">time_value</tt><tt class="py-op">,</tt><tt class="py-string">'mask'</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-<a name="L714"></a><tt class="py-lineno"> 714</tt> <tt class="py-line"> <tt class="py-name">mask</tt> <tt class="py-op">=</tt> <tt class="py-name">time_value</tt><tt class="py-op">.</tt><tt class="py-name">mask</tt> </tt>
-<a name="L715"></a><tt class="py-lineno"> 715</tt> <tt class="py-line"> <tt class="py-name">ismasked</tt> <tt class="py-op">=</tt> <tt class="py-name">True</tt> </tt>
-<a name="L716"></a><tt class="py-lineno"> 716</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-keyword">not</tt> <tt class="py-name">isscalar</tt><tt class="py-op">:</tt> </tt>
-<a name="L717"></a><tt class="py-lineno"> 717</tt> <tt class="py-line"> <tt class="py-name">time_value</tt> <tt class="py-op">=</tt> <tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">array</tt><tt class="py-op">(</tt><tt class="py-name">time_value</tt><tt class="py-op">,</tt> <tt id="link-22" class="py-name" targets="Variable netCDF3.Variable.dtype=netCDF3.Variable-class.html#dtype,Variable netCDF4.CompoundType.dtype=netCDF4.CompoundType-class.html#dty [...]
-netCDF4.CompoundType.dtype
-netCDF4.VLType.dtype
-netCDF4.Variable.dtype" class="py-name" href="#" onclick="return doclink('link-22', 'dtype', 'link-22');">dtype</a></tt><tt class="py-op">=</tt><tt class="py-string">'d'</tt><tt class="py-op">)</tt> </tt>
-<a name="L718"></a><tt class="py-lineno"> 718</tt> <tt class="py-line"> <tt id="link-23" class="py-name"><a title="netCDF3.Variable.shape
-netCDF4.Variable.shape" class="py-name" href="#" onclick="return doclink('link-23', 'shape', 'link-17');">shape</a></tt> <tt class="py-op">=</tt> <tt class="py-name">time_value</tt><tt class="py-op">.</tt><tt id="link-24" class="py-name"><a title="netCDF3.Variable.shape
-netCDF4.Variable.shape" class="py-name" href="#" onclick="return doclink('link-24', 'shape', 'link-17');">shape</a></tt> </tt>
-<a name="L719"></a><tt class="py-lineno"> 719</tt> <tt class="py-line"> <tt class="py-comment"># convert to desired units, remove time zone offset.</tt> </tt>
-<a name="L720"></a><tt class="py-lineno"> 720</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">units</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'second'</tt><tt class="py-op">,</tt><tt class="py-string">'seconds'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L721"></a><tt class="py-lineno"> 721</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-name">time_value</tt><tt class="py-op">/</tt><tt class="py-number">86400.</tt> <tt class="py-op">-</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">tzoffset</tt><tt class="py-op">/</tt><tt class="py-number">1440.</tt> </tt>
-<a name="L722"></a><tt class="py-lineno"> 722</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">units</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'minute'</tt><tt class="py-op">,</tt><tt class="py-string">'minutes'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L723"></a><tt class="py-lineno"> 723</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-name">time_value</tt><tt class="py-op">/</tt><tt class="py-number">1440.</tt> <tt class="py-op">-</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">tzoffset</tt><tt class="py-op">/</tt><tt class="py-number">1440.</tt> </tt>
-<a name="L724"></a><tt class="py-lineno"> 724</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">units</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'hour'</tt><tt class="py-op">,</tt><tt class="py-string">'hours'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L725"></a><tt class="py-lineno"> 725</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-name">time_value</tt><tt class="py-op">/</tt><tt class="py-number">24.</tt> <tt class="py-op">-</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">tzoffset</tt><tt class="py-op">/</tt><tt class="py-number">1440.</tt> </tt>
-<a name="L726"></a><tt class="py-lineno"> 726</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">units</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'day'</tt><tt class="py-op">,</tt><tt class="py-string">'days'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L727"></a><tt class="py-lineno"> 727</tt> <tt class="py-line"> <tt class="py-name">jdelta</tt> <tt class="py-op">=</tt> <tt class="py-name">time_value</tt> <tt class="py-op">-</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">tzoffset</tt><tt class="py-op">/</tt><tt class="py-number">1440.</tt> </tt>
-<a name="L728"></a><tt class="py-lineno"> 728</tt> <tt class="py-line"> <tt class="py-name">jd</tt> <tt class="py-op">=</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_jd0</tt> <tt class="py-op">+</tt> <tt class="py-name">jdelta</tt> </tt>
-<a name="L729"></a><tt class="py-lineno"> 729</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">calendar</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'julian'</tt><tt class="py-op">,</tt><tt class="py-string">'standard'</tt><tt class="py-op">,</tt><tt class="py-string">'gregorian'</tt><tt class="py-op">,</tt><tt class="py-string">'proleptic_gregorian'</tt><tt class [...]
-<a name="L730"></a><tt class="py-lineno"> 730</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-keyword">not</tt> <tt class="py-name">isscalar</tt><tt class="py-op">:</tt> </tt>
-<a name="L731"></a><tt class="py-lineno"> 731</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">ismasked</tt><tt class="py-op">:</tt> </tt>
-<a name="L732"></a><tt class="py-lineno"> 732</tt> <tt class="py-line"> <tt class="py-name">date</tt> <tt class="py-op">=</tt> <tt class="py-op">[</tt><tt class="py-op">]</tt> </tt>
-<a name="L733"></a><tt class="py-lineno"> 733</tt> <tt class="py-line"> <tt class="py-keyword">for</tt> <tt class="py-name">j</tt><tt class="py-op">,</tt><tt class="py-name">m</tt> <tt class="py-keyword">in</tt> <tt class="py-name">zip</tt><tt class="py-op">(</tt><tt class="py-name">jd</tt><tt class="py-op">.</tt><tt class="py-name">flat</tt><tt class="py-op">,</tt> <tt class="py-name">mask</tt><tt class="py-op">.</tt><tt class="py-name">flat</tt><tt class="py-op">)</ [...]
-<a name="L734"></a><tt class="py-lineno"> 734</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-keyword">not</tt> <tt class="py-name">m</tt><tt class="py-op">:</tt> </tt>
-<a name="L735"></a><tt class="py-lineno"> 735</tt> <tt class="py-line"> <tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">append</tt><tt class="py-op">(</tt><tt id="link-25" class="py-name" targets="Function netcdftime.netcdftime.DateFromJulianDay()=netcdftime.netcdftime-module.html#DateFromJulianDay"><a title="netcdftime.netcdftime.DateFromJulianDay" class="py-name" href="#" onclick="return doclink('link-25', 'DateFromJulianDay', 'link- [...]
-<a name="L736"></a><tt class="py-lineno"> 736</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L737"></a><tt class="py-lineno"> 737</tt> <tt class="py-line"> <tt class="py-name">date</tt><tt class="py-op">.</tt><tt class="py-name">append</tt><tt class="py-op">(</tt><tt class="py-name">None</tt><tt class="py-op">)</tt> </tt>
-<a name="L738"></a><tt class="py-lineno"> 738</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L739"></a><tt class="py-lineno"> 739</tt> <tt class="py-line"> <tt class="py-name">date</tt> <tt class="py-op">=</tt> <tt class="py-op">[</tt><tt id="link-26" class="py-name"><a title="netcdftime.netcdftime.DateFromJulianDay" class="py-name" href="#" onclick="return doclink('link-26', 'DateFromJulianDay', 'link-25');">DateFromJulianDay</a></tt><tt class="py-op">(</tt><tt class="py-name">j</tt><tt class="py-op">,</tt><tt class="py-name">self</tt><tt class="py- [...]
-<a name="L740"></a><tt class="py-lineno"> 740</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L741"></a><tt class="py-lineno"> 741</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">ismasked</tt> <tt class="py-keyword">and</tt> <tt class="py-name">mask</tt><tt class="py-op">.</tt><tt class="py-name">item</tt><tt class="py-op">(</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-<a name="L742"></a><tt class="py-lineno"> 742</tt> <tt class="py-line"> <tt class="py-name">date</tt> <tt class="py-op">=</tt> <tt class="py-name">None</tt> </tt>
-<a name="L743"></a><tt class="py-lineno"> 743</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L744"></a><tt class="py-lineno"> 744</tt> <tt class="py-line"> <tt class="py-name">date</tt> <tt class="py-op">=</tt> <tt id="link-27" class="py-name"><a title="netcdftime.netcdftime.DateFromJulianDay" class="py-name" href="#" onclick="return doclink('link-27', 'DateFromJulianDay', 'link-25');">DateFromJulianDay</a></tt><tt class="py-op">(</tt><tt class="py-name">jd</tt><tt class="py-op">,</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py [...]
-<a name="L745"></a><tt class="py-lineno"> 745</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">calendar</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'noleap'</tt><tt class="py-op">,</tt><tt class="py-string">'365_day'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L746"></a><tt class="py-lineno"> 746</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-keyword">not</tt> <tt class="py-name">isscalar</tt><tt class="py-op">:</tt> </tt>
-<a name="L747"></a><tt class="py-lineno"> 747</tt> <tt class="py-line"> <tt class="py-name">date</tt> <tt class="py-op">=</tt> <tt class="py-op">[</tt><tt class="py-name">_DateFromNoLeapDay</tt><tt class="py-op">(</tt><tt class="py-name">j</tt><tt class="py-op">)</tt> <tt class="py-keyword">for</tt> <tt class="py-name">j</tt> <tt class="py-keyword">in</tt> <tt class="py-name">jd</tt><tt class="py-op">.</tt><tt class="py-name">flat</tt><tt class="py-op">]</tt> </tt>
-<a name="L748"></a><tt class="py-lineno"> 748</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L749"></a><tt class="py-lineno"> 749</tt> <tt class="py-line"> <tt class="py-name">date</tt> <tt class="py-op">=</tt> <tt class="py-name">_DateFromNoLeapDay</tt><tt class="py-op">(</tt><tt class="py-name">jd</tt><tt class="py-op">)</tt> </tt>
-<a name="L750"></a><tt class="py-lineno"> 750</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">calendar</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'all_leap'</tt><tt class="py-op">,</tt><tt class="py-string">'366_day'</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L751"></a><tt class="py-lineno"> 751</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-keyword">not</tt> <tt class="py-name">isscalar</tt><tt class="py-op">:</tt> </tt>
-<a name="L752"></a><tt class="py-lineno"> 752</tt> <tt class="py-line"> <tt class="py-name">date</tt> <tt class="py-op">=</tt> <tt class="py-op">[</tt><tt class="py-name">_DateFromAllLeap</tt><tt class="py-op">(</tt><tt class="py-name">j</tt><tt class="py-op">)</tt> <tt class="py-keyword">for</tt> <tt class="py-name">j</tt> <tt class="py-keyword">in</tt> <tt class="py-name">jd</tt><tt class="py-op">.</tt><tt class="py-name">flat</tt><tt class="py-op">]</tt> </tt>
-<a name="L753"></a><tt class="py-lineno"> 753</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L754"></a><tt class="py-lineno"> 754</tt> <tt class="py-line"> <tt class="py-name">date</tt> <tt class="py-op">=</tt> <tt class="py-name">_DateFromAllLeap</tt><tt class="py-op">(</tt><tt class="py-name">jd</tt><tt class="py-op">)</tt> </tt>
-<a name="L755"></a><tt class="py-lineno"> 755</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">calendar</tt> <tt class="py-op">==</tt> <tt class="py-string">'360_day'</tt><tt class="py-op">:</tt> </tt>
-<a name="L756"></a><tt class="py-lineno"> 756</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-keyword">not</tt> <tt class="py-name">isscalar</tt><tt class="py-op">:</tt> </tt>
-<a name="L757"></a><tt class="py-lineno"> 757</tt> <tt class="py-line"> <tt class="py-name">date</tt> <tt class="py-op">=</tt> <tt class="py-op">[</tt><tt class="py-name">_DateFrom360Day</tt><tt class="py-op">(</tt><tt class="py-name">j</tt><tt class="py-op">)</tt> <tt class="py-keyword">for</tt> <tt class="py-name">j</tt> <tt class="py-keyword">in</tt> <tt class="py-name">jd</tt><tt class="py-op">.</tt><tt class="py-name">flat</tt><tt class="py-op">]</tt> </tt>
-<a name="L758"></a><tt class="py-lineno"> 758</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L759"></a><tt class="py-lineno"> 759</tt> <tt class="py-line"> <tt class="py-name">date</tt> <tt class="py-op">=</tt> <tt class="py-name">_DateFrom360Day</tt><tt class="py-op">(</tt><tt class="py-name">jd</tt><tt class="py-op">)</tt> </tt>
-<a name="L760"></a><tt class="py-lineno"> 760</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">isscalar</tt><tt class="py-op">:</tt> </tt>
-<a name="L761"></a><tt class="py-lineno"> 761</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">date</tt> </tt>
-<a name="L762"></a><tt class="py-lineno"> 762</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L763"></a><tt class="py-lineno"> 763</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">reshape</tt><tt class="py-op">(</tt><tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">array</tt><tt class="py-op">(</tt><tt class="py-name">date</tt><tt class="py-op">)</tt><tt class="py-op">,</tt><tt id="link-28" class="py-name"><a title="netCDF3.Variable.shape
-netCDF4.Variable.shape" class="py-name" href="#" onclick="return doclink('link-28', 'shape', 'link-17');">shape</a></tt><tt class="py-op">)</tt> </tt>
-</div></div><a name="L764"></a><tt class="py-lineno"> 764</tt> <tt class="py-line"> </tt>
-<a name="_parse_timezone"></a><div id="_parse_timezone-def"><a name="L765"></a><tt class="py-lineno"> 765</tt> <a class="py-toggle" href="#" id="_parse_timezone-toggle" onclick="return toggle('_parse_timezone');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#_parse_timezone">_parse_timezone</a><tt class="py-op">(</tt><tt class="py-param">tzstring</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-</div><div id="_parse_timezone-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="_parse_timezone-expanded"><a name="L766"></a><tt class="py-lineno"> 766</tt> <tt class="py-line"> <tt class="py-docstring">"""Parses ISO 8601 time zone specs into tzinfo offsets</tt> </tt>
-<a name="L767"></a><tt class="py-lineno"> 767</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L768"></a><tt class="py-lineno"> 768</tt> <tt class="py-line"><tt class="py-docstring"> Adapted from pyiso8601 (http://code.google.com/p/pyiso8601/)</tt> </tt>
-<a name="L769"></a><tt class="py-lineno"> 769</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L770"></a><tt class="py-lineno"> 770</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">tzstring</tt> <tt class="py-op">==</tt> <tt class="py-string">"Z"</tt><tt class="py-op">:</tt> </tt>
-<a name="L771"></a><tt class="py-lineno"> 771</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-number">0</tt> </tt>
-<a name="L772"></a><tt class="py-lineno"> 772</tt> <tt class="py-line"> <tt class="py-comment"># This isn't strictly correct, but it's common to encounter dates without</tt> </tt>
-<a name="L773"></a><tt class="py-lineno"> 773</tt> <tt class="py-line"> <tt class="py-comment"># timezones so I'll assume the default (which defaults to UTC).</tt> </tt>
-<a name="L774"></a><tt class="py-lineno"> 774</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">tzstring</tt> <tt class="py-keyword">is</tt> <tt class="py-name">None</tt><tt class="py-op">:</tt> </tt>
-<a name="L775"></a><tt class="py-lineno"> 775</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-number">0</tt> </tt>
-<a name="L776"></a><tt class="py-lineno"> 776</tt> <tt class="py-line"> <tt class="py-name">m</tt> <tt class="py-op">=</tt> <tt id="link-29" class="py-name"><a title="netcdftime.netcdftime.TIMEZONE_REGEX" class="py-name" href="#" onclick="return doclink('link-29', 'TIMEZONE_REGEX', 'link-6');">TIMEZONE_REGEX</a></tt><tt class="py-op">.</tt><tt class="py-name">match</tt><tt class="py-op">(</tt><tt class="py-name">tzstring</tt><tt class="py-op">)</tt> </tt>
-<a name="L777"></a><tt class="py-lineno"> 777</tt> <tt class="py-line"> <tt class="py-name">prefix</tt><tt class="py-op">,</tt> <tt class="py-name">hours</tt><tt class="py-op">,</tt> <tt class="py-name">minutes</tt> <tt class="py-op">=</tt> <tt class="py-name">m</tt><tt class="py-op">.</tt><tt id="link-30" class="py-name" targets="Variable netCDF4.Dataset.groups=netCDF4.Dataset-class.html#groups"><a title="netCDF4.Dataset.groups" class="py-name" href="#" onclick="return doclink('link [...]
-<a name="L778"></a><tt class="py-lineno"> 778</tt> <tt class="py-line"> <tt class="py-name">hours</tt><tt class="py-op">,</tt> <tt class="py-name">minutes</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">hours</tt><tt class="py-op">)</tt><tt class="py-op">,</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">minutes</tt><tt class="py-op">)</tt> </tt>
-<a name="L779"></a><tt class="py-lineno"> 779</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">prefix</tt> <tt class="py-op">==</tt> <tt class="py-string">"-"</tt><tt class="py-op">:</tt> </tt>
-<a name="L780"></a><tt class="py-lineno"> 780</tt> <tt class="py-line"> <tt class="py-name">hours</tt> <tt class="py-op">=</tt> <tt class="py-op">-</tt><tt class="py-name">hours</tt> </tt>
-<a name="L781"></a><tt class="py-lineno"> 781</tt> <tt class="py-line"> <tt class="py-name">minutes</tt> <tt class="py-op">=</tt> <tt class="py-op">-</tt><tt class="py-name">minutes</tt> </tt>
-<a name="L782"></a><tt class="py-lineno"> 782</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">minutes</tt> <tt class="py-op">+</tt> <tt class="py-name">hours</tt><tt class="py-op">*</tt><tt class="py-number">60.</tt> </tt>
-</div><a name="L783"></a><tt class="py-lineno"> 783</tt> <tt class="py-line"> </tt>
-<a name="_parse_date"></a><div id="_parse_date-def"><a name="L784"></a><tt class="py-lineno"> 784</tt> <a class="py-toggle" href="#" id="_parse_date-toggle" onclick="return toggle('_parse_date');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#_parse_date">_parse_date</a><tt class="py-op">(</tt><tt class="py-param">datestring</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-</div><div id="_parse_date-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="_parse_date-expanded"><a name="L785"></a><tt class="py-lineno"> 785</tt> <tt class="py-line"> <tt class="py-docstring">"""Parses ISO 8601 dates into datetime objects</tt> </tt>
-<a name="L786"></a><tt class="py-lineno"> 786</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L787"></a><tt class="py-lineno"> 787</tt> <tt class="py-line"><tt class="py-docstring"> The timezone is parsed from the date string, assuming UTC</tt> </tt>
-<a name="L788"></a><tt class="py-lineno"> 788</tt> <tt class="py-line"><tt class="py-docstring"> by default.</tt> </tt>
-<a name="L789"></a><tt class="py-lineno"> 789</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L790"></a><tt class="py-lineno"> 790</tt> <tt class="py-line"><tt class="py-docstring"> Adapted from pyiso8601 (http://code.google.com/p/pyiso8601/)</tt> </tt>
-<a name="L791"></a><tt class="py-lineno"> 791</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L792"></a><tt class="py-lineno"> 792</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-keyword">not</tt> <tt class="py-name">isinstance</tt><tt class="py-op">(</tt><tt class="py-name">datestring</tt><tt class="py-op">,</tt> <tt class="py-name">basestring</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-<a name="L793"></a><tt class="py-lineno"> 793</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">(</tt><tt class="py-string">"Expecting a string %r"</tt> <tt class="py-op">%</tt> <tt class="py-name">datestring</tt><tt class="py-op">)</tt> </tt>
-<a name="L794"></a><tt class="py-lineno"> 794</tt> <tt class="py-line"> <tt class="py-name">m</tt> <tt class="py-op">=</tt> <tt id="link-31" class="py-name"><a title="netcdftime.netcdftime.ISO8601_REGEX" class="py-name" href="#" onclick="return doclink('link-31', 'ISO8601_REGEX', 'link-5');">ISO8601_REGEX</a></tt><tt class="py-op">.</tt><tt class="py-name">match</tt><tt class="py-op">(</tt><tt class="py-name">datestring</tt><tt class="py-op">)</tt> </tt>
-<a name="L795"></a><tt class="py-lineno"> 795</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-keyword">not</tt> <tt class="py-name">m</tt><tt class="py-op">:</tt> </tt>
-<a name="L796"></a><tt class="py-lineno"> 796</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">(</tt><tt class="py-string">"Unable to parse date string %r"</tt> <tt class="py-op">%</tt> <tt class="py-name">datestring</tt><tt class="py-op">)</tt> </tt>
-<a name="L797"></a><tt class="py-lineno"> 797</tt> <tt class="py-line"> <tt id="link-32" class="py-name"><a title="netCDF4.Dataset.groups" class="py-name" href="#" onclick="return doclink('link-32', 'groups', 'link-30');">groups</a></tt> <tt class="py-op">=</tt> <tt class="py-name">m</tt><tt class="py-op">.</tt><tt class="py-name">groupdict</tt><tt class="py-op">(</tt><tt class="py-op">)</tt> </tt>
-<a name="L798"></a><tt class="py-lineno"> 798</tt> <tt class="py-line"> <tt class="py-name">tzoffset_mins</tt> <tt class="py-op">=</tt> <tt class="py-name">_parse_timezone</tt><tt class="py-op">(</tt><tt id="link-33" class="py-name"><a title="netCDF4.Dataset.groups" class="py-name" href="#" onclick="return doclink('link-33', 'groups', 'link-30');">groups</a></tt><tt class="py-op">[</tt><tt class="py-string">"timezone"</tt><tt class="py-op">]</tt><tt class="py-op">)</tt> </tt>
-<a name="L799"></a><tt class="py-lineno"> 799</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt id="link-34" class="py-name"><a title="netCDF4.Dataset.groups" class="py-name" href="#" onclick="return doclink('link-34', 'groups', 'link-30');">groups</a></tt><tt class="py-op">[</tt><tt class="py-string">"hour"</tt><tt class="py-op">]</tt> <tt class="py-keyword">is</tt> <tt class="py-name">None</tt><tt class="py-op">:</tt> </tt>
-<a name="L800"></a><tt class="py-lineno"> 800</tt> <tt class="py-line"> <tt id="link-35" class="py-name"><a title="netCDF4.Dataset.groups" class="py-name" href="#" onclick="return doclink('link-35', 'groups', 'link-30');">groups</a></tt><tt class="py-op">[</tt><tt class="py-string">"hour"</tt><tt class="py-op">]</tt><tt class="py-op">=</tt><tt class="py-number">0</tt> </tt>
-<a name="L801"></a><tt class="py-lineno"> 801</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt id="link-36" class="py-name"><a title="netCDF4.Dataset.groups" class="py-name" href="#" onclick="return doclink('link-36', 'groups', 'link-30');">groups</a></tt><tt class="py-op">[</tt><tt class="py-string">"minute"</tt><tt class="py-op">]</tt> <tt class="py-keyword">is</tt> <tt class="py-name">None</tt><tt class="py-op">:</tt> </tt>
-<a name="L802"></a><tt class="py-lineno"> 802</tt> <tt class="py-line"> <tt id="link-37" class="py-name"><a title="netCDF4.Dataset.groups" class="py-name" href="#" onclick="return doclink('link-37', 'groups', 'link-30');">groups</a></tt><tt class="py-op">[</tt><tt class="py-string">"minute"</tt><tt class="py-op">]</tt><tt class="py-op">=</tt><tt class="py-number">0</tt> </tt>
-<a name="L803"></a><tt class="py-lineno"> 803</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt id="link-38" class="py-name"><a title="netCDF4.Dataset.groups" class="py-name" href="#" onclick="return doclink('link-38', 'groups', 'link-30');">groups</a></tt><tt class="py-op">[</tt><tt class="py-string">"second"</tt><tt class="py-op">]</tt> <tt class="py-keyword">is</tt> <tt class="py-name">None</tt><tt class="py-op">:</tt> </tt>
-<a name="L804"></a><tt class="py-lineno"> 804</tt> <tt class="py-line"> <tt id="link-39" class="py-name"><a title="netCDF4.Dataset.groups" class="py-name" href="#" onclick="return doclink('link-39', 'groups', 'link-30');">groups</a></tt><tt class="py-op">[</tt><tt class="py-string">"second"</tt><tt class="py-op">]</tt><tt class="py-op">=</tt><tt class="py-number">0</tt> </tt>
-<a name="L805"></a><tt class="py-lineno"> 805</tt> <tt class="py-line"> <tt class="py-comment">#if groups["fraction"] is None:</tt> </tt>
-<a name="L806"></a><tt class="py-lineno"> 806</tt> <tt class="py-line"> <tt class="py-comment"># groups["fraction"] = 0</tt> </tt>
-<a name="L807"></a><tt class="py-lineno"> 807</tt> <tt class="py-line"> <tt class="py-comment">#else:</tt> </tt>
-<a name="L808"></a><tt class="py-lineno"> 808</tt> <tt class="py-line"> <tt class="py-comment"># groups["fraction"] = int(float("0.%s" % groups["fraction"]) * 1e6)</tt> </tt>
-<a name="L809"></a><tt class="py-lineno"> 809</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt id="link-40" class="py-name"><a title="netCDF4.Dataset.groups" class="py-name" href="#" onclick="return doclink('link-40', 'groups', 'link-30');">groups</a></tt><tt class="py-op">[</tt><tt class="py-string">"year"</tt><tt class="py-op">]</tt><tt class="py-op">)</tt><tt class="py-op">,</tt> <tt class="py-name">int</tt><tt cl [...]
-<a name="L810"></a><tt class="py-lineno"> 810</tt> <tt class="py-line"> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt id="link-43" class="py-name"><a title="netCDF4.Dataset.groups" class="py-name" href="#" onclick="return doclink('link-43', 'groups', 'link-30');">groups</a></tt><tt class="py-op">[</tt><tt class="py-string">"hour"</tt><tt class="py-op">]</tt><tt class="py-op">)</tt><tt class="py-op">,</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt id="link- [...]
-<a name="L811"></a><tt class="py-lineno"> 811</tt> <tt class="py-line"> <tt class="py-name">tzoffset_mins</tt> </tt>
-</div><a name="L812"></a><tt class="py-lineno"> 812</tt> <tt class="py-line"> </tt>
-<a name="L813"></a><tt class="py-lineno"> 813</tt> <tt class="py-line"><tt id="link-46" class="py-name" targets="Variable netcdftime.netcdftime._illegal_s=netcdftime.netcdftime-module.html#_illegal_s"><a title="netcdftime.netcdftime._illegal_s" class="py-name" href="#" onclick="return doclink('link-46', '_illegal_s', 'link-46');">_illegal_s</a></tt> <tt class="py-op">=</tt> <tt class="py-name">re</tt><tt class="py-op">.</tt><tt class="py-name">compile</tt><tt class="py-op">(</tt><tt cla [...]
-<a name="L814"></a><tt class="py-lineno"> 814</tt> <tt class="py-line"> </tt>
-<a name="_findall"></a><div id="_findall-def"><a name="L815"></a><tt class="py-lineno"> 815</tt> <a class="py-toggle" href="#" id="_findall-toggle" onclick="return toggle('_findall');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#_findall">_findall</a><tt class="py-op">(</tt><tt class="py-param">text</tt><tt class="py-op">,</tt> <tt class="py-param">substr</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-</div><div id="_findall-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="_findall-expanded"><a name="L816"></a><tt class="py-lineno"> 816</tt> <tt class="py-line"> <tt class="py-comment"># Also finds overlaps</tt> </tt>
-<a name="L817"></a><tt class="py-lineno"> 817</tt> <tt class="py-line"> <tt class="py-name">sites</tt> <tt class="py-op">=</tt> <tt class="py-op">[</tt><tt class="py-op">]</tt> </tt>
-<a name="L818"></a><tt class="py-lineno"> 818</tt> <tt class="py-line"> <tt class="py-name">i</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L819"></a><tt class="py-lineno"> 819</tt> <tt class="py-line"> <tt class="py-keyword">while</tt> <tt class="py-number">1</tt><tt class="py-op">:</tt> </tt>
-<a name="L820"></a><tt class="py-lineno"> 820</tt> <tt class="py-line"> <tt class="py-name">j</tt> <tt class="py-op">=</tt> <tt class="py-name">text</tt><tt class="py-op">.</tt><tt class="py-name">find</tt><tt class="py-op">(</tt><tt class="py-name">substr</tt><tt class="py-op">,</tt> <tt class="py-name">i</tt><tt class="py-op">)</tt> </tt>
-<a name="L821"></a><tt class="py-lineno"> 821</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">j</tt> <tt class="py-op">==</tt> <tt class="py-op">-</tt><tt class="py-number">1</tt><tt class="py-op">:</tt> </tt>
-<a name="L822"></a><tt class="py-lineno"> 822</tt> <tt class="py-line"> <tt class="py-keyword">break</tt> </tt>
-<a name="L823"></a><tt class="py-lineno"> 823</tt> <tt class="py-line"> <tt class="py-name">sites</tt><tt class="py-op">.</tt><tt class="py-name">append</tt><tt class="py-op">(</tt><tt class="py-name">j</tt><tt class="py-op">)</tt> </tt>
-<a name="L824"></a><tt class="py-lineno"> 824</tt> <tt class="py-line"> <tt class="py-name">i</tt><tt class="py-op">=</tt><tt class="py-name">j</tt><tt class="py-op">+</tt><tt class="py-number">1</tt> </tt>
-<a name="L825"></a><tt class="py-lineno"> 825</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">sites</tt> </tt>
-</div><a name="L826"></a><tt class="py-lineno"> 826</tt> <tt class="py-line"> </tt>
-<a name="L827"></a><tt class="py-lineno"> 827</tt> <tt class="py-line"><tt class="py-comment"># Every 28 years the calendar repeats, except through century leap</tt> </tt>
-<a name="L828"></a><tt class="py-lineno"> 828</tt> <tt class="py-line"><tt class="py-comment"># years where it's 6 years. But only if you're using the Gregorian</tt> </tt>
-<a name="L829"></a><tt class="py-lineno"> 829</tt> <tt class="py-line"><tt class="py-comment"># calendar. ;)</tt> </tt>
-<a name="L830"></a><tt class="py-lineno"> 830</tt> <tt class="py-line"> </tt>
-<a name="_strftime"></a><div id="_strftime-def"><a name="L831"></a><tt class="py-lineno"> 831</tt> <a class="py-toggle" href="#" id="_strftime-toggle" onclick="return toggle('_strftime');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#_strftime">_strftime</a><tt class="py-op">(</tt><tt class="py-param">dt</tt><tt class="py-op">,</tt> <tt class="py-param">fmt</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-</div><div id="_strftime-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="_strftime-expanded"><a name="L832"></a><tt class="py-lineno"> 832</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt id="link-47" class="py-name"><a title="netcdftime.netcdftime._illegal_s" class="py-name" href="#" onclick="return doclink('link-47', '_illegal_s', 'link-46');">_illegal_s</a></tt><tt class="py-op">.</tt><tt class="py-name">search</tt><tt class="py-op">(</tt><tt c [...]
-<a name="L833"></a><tt class="py-lineno"> 833</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">TypeError</tt><tt class="py-op">(</tt><tt class="py-string">"This strftime implementation does not handle %s"</tt><tt class="py-op">)</tt> </tt>
-<a name="L834"></a><tt class="py-lineno"> 834</tt> <tt class="py-line"> <tt class="py-comment"># don't use strftime method at all.</tt> </tt>
-<a name="L835"></a><tt class="py-lineno"> 835</tt> <tt class="py-line"> <tt class="py-comment">#if dt.year > 1900:</tt> </tt>
-<a name="L836"></a><tt class="py-lineno"> 836</tt> <tt class="py-line"> <tt class="py-comment"># return dt.strftime(fmt)</tt> </tt>
-<a name="L837"></a><tt class="py-lineno"> 837</tt> <tt class="py-line"> </tt>
-<a name="L838"></a><tt class="py-lineno"> 838</tt> <tt class="py-line"> <tt class="py-name">year</tt> <tt class="py-op">=</tt> <tt class="py-name">dt</tt><tt class="py-op">.</tt><tt class="py-name">year</tt> </tt>
-<a name="L839"></a><tt class="py-lineno"> 839</tt> <tt class="py-line"> <tt class="py-comment"># For every non-leap year century, advance by</tt> </tt>
-<a name="L840"></a><tt class="py-lineno"> 840</tt> <tt class="py-line"> <tt class="py-comment"># 6 years to get into the 28-year repeat cycle</tt> </tt>
-<a name="L841"></a><tt class="py-lineno"> 841</tt> <tt class="py-line"> <tt class="py-name">delta</tt> <tt class="py-op">=</tt> <tt class="py-number">2000</tt> <tt class="py-op">-</tt> <tt class="py-name">year</tt> </tt>
-<a name="L842"></a><tt class="py-lineno"> 842</tt> <tt class="py-line"> <tt class="py-name">off</tt> <tt class="py-op">=</tt> <tt class="py-number">6</tt><tt class="py-op">*</tt><tt class="py-op">(</tt><tt class="py-name">delta</tt> <tt class="py-op">//</tt> <tt class="py-number">100</tt> <tt class="py-op">+</tt> <tt class="py-name">delta</tt> <tt class="py-op">//</tt> <tt class="py-number">400</tt><tt class="py-op">)</tt> </tt>
-<a name="L843"></a><tt class="py-lineno"> 843</tt> <tt class="py-line"> <tt class="py-name">year</tt> <tt class="py-op">=</tt> <tt class="py-name">year</tt> <tt class="py-op">+</tt> <tt class="py-name">off</tt> </tt>
-<a name="L844"></a><tt class="py-lineno"> 844</tt> <tt class="py-line"> </tt>
-<a name="L845"></a><tt class="py-lineno"> 845</tt> <tt class="py-line"> <tt class="py-comment"># Move to around the year 2000</tt> </tt>
-<a name="L846"></a><tt class="py-lineno"> 846</tt> <tt class="py-line"> <tt class="py-name">year</tt> <tt class="py-op">=</tt> <tt class="py-name">year</tt> <tt class="py-op">+</tt> <tt class="py-op">(</tt><tt class="py-op">(</tt><tt class="py-number">2000</tt> <tt class="py-op">-</tt> <tt class="py-name">year</tt><tt class="py-op">)</tt><tt class="py-op">//</tt><tt class="py-number">28</tt><tt class="py-op">)</tt><tt class="py-op">*</tt><tt class="py-number">28</tt> </tt>
-<a name="L847"></a><tt class="py-lineno"> 847</tt> <tt class="py-line"> <tt id="link-48" class="py-name" targets="Method netcdftime.netcdftime.datetime.timetuple()=netcdftime.netcdftime.datetime-class.html#timetuple"><a title="netcdftime.netcdftime.datetime.timetuple" class="py-name" href="#" onclick="return doclink('link-48', 'timetuple', 'link-48');">timetuple</a></tt> <tt class="py-op">=</tt> <tt class="py-name">dt</tt><tt class="py-op">.</tt><tt id="link-49" class="py-name"><a ti [...]
-<a name="L848"></a><tt class="py-lineno"> 848</tt> <tt class="py-line"> <tt class="py-name">s1</tt> <tt class="py-op">=</tt> <tt class="py-name">time</tt><tt class="py-op">.</tt><tt id="link-50" class="py-name"><a title="netcdftime.netcdftime.datetime.strftime" class="py-name" href="#" onclick="return doclink('link-50', 'strftime', 'link-7');">strftime</a></tt><tt class="py-op">(</tt><tt class="py-name">fmt</tt><tt class="py-op">,</tt> <tt class="py-op">(</tt><tt class="py-name">year [...]
-<a name="L849"></a><tt class="py-lineno"> 849</tt> <tt class="py-line"> <tt class="py-name">sites1</tt> <tt class="py-op">=</tt> <tt class="py-name">_findall</tt><tt class="py-op">(</tt><tt class="py-name">s1</tt><tt class="py-op">,</tt> <tt class="py-name">str</tt><tt class="py-op">(</tt><tt class="py-name">year</tt><tt class="py-op">)</tt><tt class="py-op">)</tt> </tt>
-<a name="L850"></a><tt class="py-lineno"> 850</tt> <tt class="py-line"> </tt>
-<a name="L851"></a><tt class="py-lineno"> 851</tt> <tt class="py-line"> <tt class="py-name">s2</tt> <tt class="py-op">=</tt> <tt class="py-name">time</tt><tt class="py-op">.</tt><tt id="link-52" class="py-name"><a title="netcdftime.netcdftime.datetime.strftime" class="py-name" href="#" onclick="return doclink('link-52', 'strftime', 'link-7');">strftime</a></tt><tt class="py-op">(</tt><tt class="py-name">fmt</tt><tt class="py-op">,</tt> <tt class="py-op">(</tt><tt class="py-name">year [...]
-<a name="L852"></a><tt class="py-lineno"> 852</tt> <tt class="py-line"> <tt class="py-name">sites2</tt> <tt class="py-op">=</tt> <tt class="py-name">_findall</tt><tt class="py-op">(</tt><tt class="py-name">s2</tt><tt class="py-op">,</tt> <tt class="py-name">str</tt><tt class="py-op">(</tt><tt class="py-name">year</tt><tt class="py-op">+</tt><tt class="py-number">28</tt><tt class="py-op">)</tt><tt class="py-op">)</tt> </tt>
-<a name="L853"></a><tt class="py-lineno"> 853</tt> <tt class="py-line"> </tt>
-<a name="L854"></a><tt class="py-lineno"> 854</tt> <tt class="py-line"> <tt class="py-name">sites</tt> <tt class="py-op">=</tt> <tt class="py-op">[</tt><tt class="py-op">]</tt> </tt>
-<a name="L855"></a><tt class="py-lineno"> 855</tt> <tt class="py-line"> <tt class="py-keyword">for</tt> <tt class="py-name">site</tt> <tt class="py-keyword">in</tt> <tt class="py-name">sites1</tt><tt class="py-op">:</tt> </tt>
-<a name="L856"></a><tt class="py-lineno"> 856</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">site</tt> <tt class="py-keyword">in</tt> <tt class="py-name">sites2</tt><tt class="py-op">:</tt> </tt>
-<a name="L857"></a><tt class="py-lineno"> 857</tt> <tt class="py-line"> <tt class="py-name">sites</tt><tt class="py-op">.</tt><tt class="py-name">append</tt><tt class="py-op">(</tt><tt class="py-name">site</tt><tt class="py-op">)</tt> </tt>
-<a name="L858"></a><tt class="py-lineno"> 858</tt> <tt class="py-line"> </tt>
-<a name="L859"></a><tt class="py-lineno"> 859</tt> <tt class="py-line"> <tt class="py-name">s</tt> <tt class="py-op">=</tt> <tt class="py-name">s1</tt> </tt>
-<a name="L860"></a><tt class="py-lineno"> 860</tt> <tt class="py-line"> <tt class="py-name">syear</tt> <tt class="py-op">=</tt> <tt class="py-string">"%4d"</tt> <tt class="py-op">%</tt> <tt class="py-op">(</tt><tt class="py-name">dt</tt><tt class="py-op">.</tt><tt class="py-name">year</tt><tt class="py-op">,</tt><tt class="py-op">)</tt> </tt>
-<a name="L861"></a><tt class="py-lineno"> 861</tt> <tt class="py-line"> <tt class="py-keyword">for</tt> <tt class="py-name">site</tt> <tt class="py-keyword">in</tt> <tt class="py-name">sites</tt><tt class="py-op">:</tt> </tt>
-<a name="L862"></a><tt class="py-lineno"> 862</tt> <tt class="py-line"> <tt class="py-name">s</tt> <tt class="py-op">=</tt> <tt class="py-name">s</tt><tt class="py-op">[</tt><tt class="py-op">:</tt><tt class="py-name">site</tt><tt class="py-op">]</tt> <tt class="py-op">+</tt> <tt class="py-name">syear</tt> <tt class="py-op">+</tt> <tt class="py-name">s</tt><tt class="py-op">[</tt><tt class="py-name">site</tt><tt class="py-op">+</tt><tt class="py-number">4</tt><tt class="py-op">:< [...]
-<a name="L863"></a><tt class="py-lineno"> 863</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">s</tt> </tt>
-</div><a name="L864"></a><tt class="py-lineno"> 864</tt> <tt class="py-line"> </tt>
-<a name="date2num"></a><div id="date2num-def"><a name="L865"></a><tt class="py-lineno"> 865</tt> <a class="py-toggle" href="#" id="date2num-toggle" onclick="return toggle('date2num');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#date2num">date2num</a><tt class="py-op">(</tt><tt class="py-param">dates</tt><tt class="py-op">,</tt><tt class="py-param">units</tt><tt class="py-op">,</tt><tt class="py-param">calendar</ [...]
-</div><div id="date2num-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="date2num-expanded"><a name="L866"></a><tt class="py-lineno"> 866</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L867"></a><tt class="py-lineno"> 867</tt> <tt class="py-line"><tt class="py-docstring">date2num(dates,units,calendar='standard')</tt> </tt>
-<a name="L868"></a><tt class="py-lineno"> 868</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L869"></a><tt class="py-lineno"> 869</tt> <tt class="py-line"><tt class="py-docstring">Return numeric time values given datetime objects. The units</tt> </tt>
-<a name="L870"></a><tt class="py-lineno"> 870</tt> <tt class="py-line"><tt class="py-docstring">of the numeric time values are described by the L{units} argument</tt> </tt>
-<a name="L871"></a><tt class="py-lineno"> 871</tt> <tt class="py-line"><tt class="py-docstring">and the L{calendar} keyword. The datetime objects must</tt> </tt>
-<a name="L872"></a><tt class="py-lineno"> 872</tt> <tt class="py-line"><tt class="py-docstring">be in UTC with no time-zone offset. If there is a </tt> </tt>
-<a name="L873"></a><tt class="py-lineno"> 873</tt> <tt class="py-line"><tt class="py-docstring">time-zone offset in C{units}, it will be applied to the</tt> </tt>
-<a name="L874"></a><tt class="py-lineno"> 874</tt> <tt class="py-line"><tt class="py-docstring">returned numeric values.</tt> </tt>
-<a name="L875"></a><tt class="py-lineno"> 875</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L876"></a><tt class="py-lineno"> 876</tt> <tt class="py-line"><tt class="py-docstring">Like the matplotlib C{date2num} function, except that it allows</tt> </tt>
-<a name="L877"></a><tt class="py-lineno"> 877</tt> <tt class="py-line"><tt class="py-docstring">for different units and calendars. Behaves the same if</tt> </tt>
-<a name="L878"></a><tt class="py-lineno"> 878</tt> <tt class="py-line"><tt class="py-docstring">C{units = 'days since 0001-01-01 00:00:00'} and </tt> </tt>
-<a name="L879"></a><tt class="py-lineno"> 879</tt> <tt class="py-line"><tt class="py-docstring">C{calendar = 'proleptic_gregorian'}.</tt> </tt>
-<a name="L880"></a><tt class="py-lineno"> 880</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L881"></a><tt class="py-lineno"> 881</tt> <tt class="py-line"><tt class="py-docstring">@param dates: A datetime object or a sequence of datetime objects.</tt> </tt>
-<a name="L882"></a><tt class="py-lineno"> 882</tt> <tt class="py-line"><tt class="py-docstring"> The datetime objects should not include a time-zone offset.</tt> </tt>
-<a name="L883"></a><tt class="py-lineno"> 883</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L884"></a><tt class="py-lineno"> 884</tt> <tt class="py-line"><tt class="py-docstring">@param units: a string of the form C{'B{time units} since B{reference time}}'</tt> </tt>
-<a name="L885"></a><tt class="py-lineno"> 885</tt> <tt class="py-line"><tt class="py-docstring"> describing the time units. B{C{time units}} can be days, hours, minutes</tt> </tt>
-<a name="L886"></a><tt class="py-lineno"> 886</tt> <tt class="py-line"><tt class="py-docstring"> or seconds. B{C{reference time}} is the time origin. A valid choice</tt> </tt>
-<a name="L887"></a><tt class="py-lineno"> 887</tt> <tt class="py-line"><tt class="py-docstring"> would be units=C{'hours since 1800-01-01 00:00:00 -6:00'}.</tt> </tt>
-<a name="L888"></a><tt class="py-lineno"> 888</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L889"></a><tt class="py-lineno"> 889</tt> <tt class="py-line"><tt class="py-docstring">@param calendar: describes the calendar used in the time calculations. </tt> </tt>
-<a name="L890"></a><tt class="py-lineno"> 890</tt> <tt class="py-line"><tt class="py-docstring"> All the values currently defined in the U{CF metadata convention </tt> </tt>
-<a name="L891"></a><tt class="py-lineno"> 891</tt> <tt class="py-line"><tt class="py-docstring"> <http://cf-pcmdi.llnl.gov/documents/cf-conventions/>} are supported.</tt> </tt>
-<a name="L892"></a><tt class="py-lineno"> 892</tt> <tt class="py-line"><tt class="py-docstring"> Valid calendars C{'standard', 'gregorian', 'proleptic_gregorian'</tt> </tt>
-<a name="L893"></a><tt class="py-lineno"> 893</tt> <tt class="py-line"><tt class="py-docstring"> 'noleap', '365_day', '360_day', 'julian', 'all_leap', '366_day'}.</tt> </tt>
-<a name="L894"></a><tt class="py-lineno"> 894</tt> <tt class="py-line"><tt class="py-docstring"> Default is C{'standard'}, which is a mixed Julian/Gregorian calendar.</tt> </tt>
-<a name="L895"></a><tt class="py-lineno"> 895</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L896"></a><tt class="py-lineno"> 896</tt> <tt class="py-line"><tt class="py-docstring">@return: a numeric time value, or an array of numeric time values.</tt> </tt>
-<a name="L897"></a><tt class="py-lineno"> 897</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L898"></a><tt class="py-lineno"> 898</tt> <tt class="py-line"><tt class="py-docstring">The maximum resolution of the numeric time values is 1 second.</tt> </tt>
-<a name="L899"></a><tt class="py-lineno"> 899</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L900"></a><tt class="py-lineno"> 900</tt> <tt class="py-line"> <tt class="py-name">cdftime</tt> <tt class="py-op">=</tt> <tt id="link-54" class="py-name" targets="Class netcdftime.netcdftime.utime=netcdftime.netcdftime.utime-class.html"><a title="netcdftime.netcdftime.utime" class="py-name" href="#" onclick="return doclink('link-54', 'utime', 'link-54');">utime</a></tt><tt class="py-op">(</tt><tt class="py-name">units</tt><tt class="py-op">,</tt><tt class="py-name">calendar< [...]
-<a name="L901"></a><tt class="py-lineno"> 901</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">cdftime</tt><tt class="py-op">.</tt><tt id="link-55" class="py-name" targets="Function netCDF3.date2num()=netCDF3-module.html#date2num,Function netCDF4.date2num()=netCDF4-module.html#date2num,Function netcdftime.netcdftime.date2num()=netcdftime.netcdftime-module.html#date2num,Method netcdftime.netcdftime.utime.date2num()=netcdftime.netcdftime.utime-class.html [...]
-netCDF4.date2num
-netcdftime.netcdftime.date2num
-netcdftime.netcdftime.utime.date2num" class="py-name" href="#" onclick="return doclink('link-55', 'date2num', 'link-55');">date2num</a></tt><tt class="py-op">(</tt><tt class="py-name">dates</tt><tt class="py-op">)</tt> </tt>
-</div><a name="L902"></a><tt class="py-lineno"> 902</tt> <tt class="py-line"> </tt>
-<a name="num2date"></a><div id="num2date-def"><a name="L903"></a><tt class="py-lineno"> 903</tt> <a class="py-toggle" href="#" id="num2date-toggle" onclick="return toggle('num2date');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#num2date">num2date</a><tt class="py-op">(</tt><tt class="py-param">times</tt><tt class="py-op">,</tt><tt class="py-param">units</tt><tt class="py-op">,</tt><tt class="py-param">calendar</ [...]
-</div><div id="num2date-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="num2date-expanded"><a name="L904"></a><tt class="py-lineno"> 904</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L905"></a><tt class="py-lineno"> 905</tt> <tt class="py-line"><tt class="py-docstring">num2date(times,units,calendar='standard')</tt> </tt>
-<a name="L906"></a><tt class="py-lineno"> 906</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L907"></a><tt class="py-lineno"> 907</tt> <tt class="py-line"><tt class="py-docstring">Return datetime objects given numeric time values. The units</tt> </tt>
-<a name="L908"></a><tt class="py-lineno"> 908</tt> <tt class="py-line"><tt class="py-docstring">of the numeric time values are described by the C{units} argument</tt> </tt>
-<a name="L909"></a><tt class="py-lineno"> 909</tt> <tt class="py-line"><tt class="py-docstring">and the C{calendar} keyword. The returned datetime objects represent </tt> </tt>
-<a name="L910"></a><tt class="py-lineno"> 910</tt> <tt class="py-line"><tt class="py-docstring">UTC with no time-zone offset, even if the specified </tt> </tt>
-<a name="L911"></a><tt class="py-lineno"> 911</tt> <tt class="py-line"><tt class="py-docstring">C{units} contain a time-zone offset.</tt> </tt>
-<a name="L912"></a><tt class="py-lineno"> 912</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L913"></a><tt class="py-lineno"> 913</tt> <tt class="py-line"><tt class="py-docstring">Like the matplotlib C{num2date} function, except that it allows</tt> </tt>
-<a name="L914"></a><tt class="py-lineno"> 914</tt> <tt class="py-line"><tt class="py-docstring">for different units and calendars. Behaves the same if</tt> </tt>
-<a name="L915"></a><tt class="py-lineno"> 915</tt> <tt class="py-line"><tt class="py-docstring">C{units = 'days since 001-01-01 00:00:00'} and </tt> </tt>
-<a name="L916"></a><tt class="py-lineno"> 916</tt> <tt class="py-line"><tt class="py-docstring">C{calendar = 'proleptic_gregorian'}.</tt> </tt>
-<a name="L917"></a><tt class="py-lineno"> 917</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L918"></a><tt class="py-lineno"> 918</tt> <tt class="py-line"><tt class="py-docstring">@param times: numeric time values. Maximum resolution is 1 second.</tt> </tt>
-<a name="L919"></a><tt class="py-lineno"> 919</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L920"></a><tt class="py-lineno"> 920</tt> <tt class="py-line"><tt class="py-docstring">@param units: a string of the form C{'B{time units} since B{reference time}}'</tt> </tt>
-<a name="L921"></a><tt class="py-lineno"> 921</tt> <tt class="py-line"><tt class="py-docstring">describing the time units. B{C{time units}} can be days, hours, minutes</tt> </tt>
-<a name="L922"></a><tt class="py-lineno"> 922</tt> <tt class="py-line"><tt class="py-docstring">or seconds. B{C{reference time}} is the time origin. A valid choice</tt> </tt>
-<a name="L923"></a><tt class="py-lineno"> 923</tt> <tt class="py-line"><tt class="py-docstring">would be units=C{'hours since 1800-01-01 00:00:00 -6:00'}.</tt> </tt>
-<a name="L924"></a><tt class="py-lineno"> 924</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L925"></a><tt class="py-lineno"> 925</tt> <tt class="py-line"><tt class="py-docstring">@param calendar: describes the calendar used in the time calculations. </tt> </tt>
-<a name="L926"></a><tt class="py-lineno"> 926</tt> <tt class="py-line"><tt class="py-docstring">All the values currently defined in the U{CF metadata convention </tt> </tt>
-<a name="L927"></a><tt class="py-lineno"> 927</tt> <tt class="py-line"><tt class="py-docstring"><http://cf-pcmdi.llnl.gov/documents/cf-conventions/>} are supported.</tt> </tt>
-<a name="L928"></a><tt class="py-lineno"> 928</tt> <tt class="py-line"><tt class="py-docstring">Valid calendars C{'standard', 'gregorian', 'proleptic_gregorian'</tt> </tt>
-<a name="L929"></a><tt class="py-lineno"> 929</tt> <tt class="py-line"><tt class="py-docstring">'noleap', '365_day', '360_day', 'julian', 'all_leap', '366_day'}.</tt> </tt>
-<a name="L930"></a><tt class="py-lineno"> 930</tt> <tt class="py-line"><tt class="py-docstring">Default is C{'standard'}, which is a mixed Julian/Gregorian calendar.</tt> </tt>
-<a name="L931"></a><tt class="py-lineno"> 931</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L932"></a><tt class="py-lineno"> 932</tt> <tt class="py-line"><tt class="py-docstring">@return: a datetime instance, or an array of datetime instances.</tt> </tt>
-<a name="L933"></a><tt class="py-lineno"> 933</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L934"></a><tt class="py-lineno"> 934</tt> <tt class="py-line"><tt class="py-docstring">The datetime instances returned are 'real' python datetime </tt> </tt>
-<a name="L935"></a><tt class="py-lineno"> 935</tt> <tt class="py-line"><tt class="py-docstring">objects if the date falls in the Gregorian calendar (i.e. </tt> </tt>
-<a name="L936"></a><tt class="py-lineno"> 936</tt> <tt class="py-line"><tt class="py-docstring">C{calendar='proleptic_gregorian'}, or C{calendar = 'standard'} or C{'gregorian'}</tt> </tt>
-<a name="L937"></a><tt class="py-lineno"> 937</tt> <tt class="py-line"><tt class="py-docstring">and the date is after 1582-10-15). Otherwise, they are 'phony' datetime </tt> </tt>
-<a name="L938"></a><tt class="py-lineno"> 938</tt> <tt class="py-line"><tt class="py-docstring">objects which support some but not all the methods of 'real' python</tt> </tt>
-<a name="L939"></a><tt class="py-lineno"> 939</tt> <tt class="py-line"><tt class="py-docstring">datetime objects. This is because the python datetime module cannot</tt> </tt>
-<a name="L940"></a><tt class="py-lineno"> 940</tt> <tt class="py-line"><tt class="py-docstring">the uses the C{'proleptic_gregorian'} calendar, even before the switch</tt> </tt>
-<a name="L941"></a><tt class="py-lineno"> 941</tt> <tt class="py-line"><tt class="py-docstring">occured from the Julian calendar in 1582. The datetime instances</tt> </tt>
-<a name="L942"></a><tt class="py-lineno"> 942</tt> <tt class="py-line"><tt class="py-docstring">do not contain a time-zone offset, even if the specified C{units}</tt> </tt>
-<a name="L943"></a><tt class="py-lineno"> 943</tt> <tt class="py-line"><tt class="py-docstring">contains one.</tt> </tt>
-<a name="L944"></a><tt class="py-lineno"> 944</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L945"></a><tt class="py-lineno"> 945</tt> <tt class="py-line"> <tt class="py-name">cdftime</tt> <tt class="py-op">=</tt> <tt id="link-56" class="py-name"><a title="netcdftime.netcdftime.utime" class="py-name" href="#" onclick="return doclink('link-56', 'utime', 'link-54');">utime</a></tt><tt class="py-op">(</tt><tt class="py-name">units</tt><tt class="py-op">,</tt><tt class="py-name">calendar</tt><tt class="py-op">=</tt><tt class="py-name">calendar</tt><tt class="py-op">)</t [...]
-<a name="L946"></a><tt class="py-lineno"> 946</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">cdftime</tt><tt class="py-op">.</tt><tt id="link-57" class="py-name" targets="Function netCDF3.num2date()=netCDF3-module.html#num2date,Function netCDF4.num2date()=netCDF4-module.html#num2date,Function netcdftime.netcdftime.num2date()=netcdftime.netcdftime-module.html#num2date,Method netcdftime.netcdftime.utime.num2date()=netcdftime.netcdftime.utime-class.html [...]
-netCDF4.num2date
-netcdftime.netcdftime.num2date
-netcdftime.netcdftime.utime.num2date" class="py-name" href="#" onclick="return doclink('link-57', 'num2date', 'link-57');">num2date</a></tt><tt class="py-op">(</tt><tt class="py-name">times</tt><tt class="py-op">)</tt> </tt>
-</div><a name="L947"></a><tt class="py-lineno"> 947</tt> <tt class="py-line"> </tt>
-<a name="_check_index"></a><div id="_check_index-def"><a name="L948"></a><tt class="py-lineno"> 948</tt> <a class="py-toggle" href="#" id="_check_index-toggle" onclick="return toggle('_check_index');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#_check_index">_check_index</a><tt class="py-op">(</tt><tt class="py-param">indices</tt><tt class="py-op">,</tt> <tt class="py-param">dates</tt><tt class="py-op">,</tt> <tt [...]
-</div><div id="_check_index-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="_check_index-expanded"><a name="L949"></a><tt class="py-lineno"> 949</tt> <tt class="py-line"> <tt class="py-docstring">"""Return True if the time indices given correspond to the given dates, </tt> </tt>
-<a name="L950"></a><tt class="py-lineno"> 950</tt> <tt class="py-line"><tt class="py-docstring"> False otherwise.</tt> </tt>
-<a name="L951"></a><tt class="py-lineno"> 951</tt> <tt class="py-line"><tt class="py-docstring"> </tt> </tt>
-<a name="L952"></a><tt class="py-lineno"> 952</tt> <tt class="py-line"><tt class="py-docstring"> Parameters: </tt> </tt>
-<a name="L953"></a><tt class="py-lineno"> 953</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L954"></a><tt class="py-lineno"> 954</tt> <tt class="py-line"><tt class="py-docstring"> indices : sequence of integers</tt> </tt>
-<a name="L955"></a><tt class="py-lineno"> 955</tt> <tt class="py-line"><tt class="py-docstring"> Positive integers indexing the time variable.</tt> </tt>
-<a name="L956"></a><tt class="py-lineno"> 956</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L957"></a><tt class="py-lineno"> 957</tt> <tt class="py-line"><tt class="py-docstring"> dates : sequence of datetime objects</tt> </tt>
-<a name="L958"></a><tt class="py-lineno"> 958</tt> <tt class="py-line"><tt class="py-docstring"> Reference dates.</tt> </tt>
-<a name="L959"></a><tt class="py-lineno"> 959</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L960"></a><tt class="py-lineno"> 960</tt> <tt class="py-line"><tt class="py-docstring"> nctime : netCDF Variable object</tt> </tt>
-<a name="L961"></a><tt class="py-lineno"> 961</tt> <tt class="py-line"><tt class="py-docstring"> NetCDF time object.</tt> </tt>
-<a name="L962"></a><tt class="py-lineno"> 962</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
-<a name="L963"></a><tt class="py-lineno"> 963</tt> <tt class="py-line"><tt class="py-docstring"> calendar : string</tt> </tt>
-<a name="L964"></a><tt class="py-lineno"> 964</tt> <tt class="py-line"><tt class="py-docstring"> Calendar of nctime.</tt> </tt>
-<a name="L965"></a><tt class="py-lineno"> 965</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L966"></a><tt class="py-lineno"> 966</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-op">(</tt><tt class="py-name">indices</tt> <tt class="py-op"><</tt><tt class="py-number">0</tt><tt class="py-op">)</tt><tt class="py-op">.</tt><tt class="py-name">any</tt><tt class="py-op">(</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-<a name="L967"></a><tt class="py-lineno"> 967</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">False</tt> </tt>
-<a name="L968"></a><tt class="py-lineno"> 968</tt> <tt class="py-line"> </tt>
-<a name="L969"></a><tt class="py-lineno"> 969</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-op">(</tt><tt class="py-name">indices</tt> <tt class="py-op">>=</tt> <tt class="py-name">nctime</tt><tt class="py-op">.</tt><tt id="link-58" class="py-name"><a title="netCDF3.Variable.shape
-netCDF4.Variable.shape" class="py-name" href="#" onclick="return doclink('link-58', 'shape', 'link-17');">shape</a></tt><tt class="py-op">[</tt><tt class="py-number">0</tt><tt class="py-op">]</tt><tt class="py-op">)</tt><tt class="py-op">.</tt><tt class="py-name">any</tt><tt class="py-op">(</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-<a name="L970"></a><tt class="py-lineno"> 970</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">False</tt> </tt>
-<a name="L971"></a><tt class="py-lineno"> 971</tt> <tt class="py-line"> </tt>
-<a name="L972"></a><tt class="py-lineno"> 972</tt> <tt class="py-line"> <tt class="py-name">t</tt> <tt class="py-op">=</tt> <tt class="py-name">nctime</tt><tt class="py-op">[</tt><tt class="py-name">indices</tt><tt class="py-op">]</tt> </tt>
-<a name="L973"></a><tt class="py-lineno"> 973</tt> <tt class="py-line"><tt class="py-comment"># if fancy indexing not available, fall back on this.</tt> </tt>
-<a name="L974"></a><tt class="py-lineno"> 974</tt> <tt class="py-line"><tt class="py-comment"># t=[]</tt> </tt>
-<a name="L975"></a><tt class="py-lineno"> 975</tt> <tt class="py-line"><tt class="py-comment"># for ind in indices:</tt> </tt>
-<a name="L976"></a><tt class="py-lineno"> 976</tt> <tt class="py-line"><tt class="py-comment"># t.append(nctime[ind])</tt> </tt>
-<a name="L977"></a><tt class="py-lineno"> 977</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">all</tt><tt class="py-op">(</tt> <tt id="link-59" class="py-name"><a title="netCDF3.num2date
-netCDF4.num2date
-netcdftime.netcdftime.num2date
-netcdftime.netcdftime.utime.num2date" class="py-name" href="#" onclick="return doclink('link-59', 'num2date', 'link-57');">num2date</a></tt><tt class="py-op">(</tt><tt class="py-name">t</tt><tt class="py-op">,</tt> <tt class="py-name">nctime</tt><tt class="py-op">.</tt><tt class="py-name">units</tt><tt class="py-op">,</tt> <tt class="py-name">calendar</tt><tt class="py-op">)</tt> <tt class="py-op">==</tt> <tt class="py-name">dates</tt><tt class="py-op">)</tt> </tt>
-</div><a name="L978"></a><tt class="py-lineno"> 978</tt> <tt class="py-line"> </tt>
-<a name="L979"></a><tt class="py-lineno"> 979</tt> <tt class="py-line"> </tt>
-<a name="L980"></a><tt class="py-lineno"> 980</tt> <tt class="py-line"> </tt>
-<a name="date2index"></a><div id="date2index-def"><a name="L981"></a><tt class="py-lineno"> 981</tt> <a class="py-toggle" href="#" id="date2index-toggle" onclick="return toggle('date2index');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#date2index">date2index</a><tt class="py-op">(</tt><tt class="py-param">dates</tt><tt class="py-op">,</tt> <tt class="py-param">nctime</tt><tt class="py-op">,</tt> <tt class="py-pa [...]
-</div><div id="date2index-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="date2index-expanded"><a name="L982"></a><tt class="py-lineno"> 982</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
-<a name="L983"></a><tt class="py-lineno"> 983</tt> <tt class="py-line"><tt class="py-docstring"> date2index(dates, nctime, calendar=None, select='exact')</tt> </tt>
-<a name="L984"></a><tt class="py-lineno"> 984</tt> <tt class="py-line"><tt class="py-docstring"> </tt> </tt>
-<a name="L985"></a><tt class="py-lineno"> 985</tt> <tt class="py-line"><tt class="py-docstring"> Return indices of a netCDF time variable corresponding to the given dates.</tt> </tt>
-<a name="L986"></a><tt class="py-lineno"> 986</tt> <tt class="py-line"><tt class="py-docstring"> </tt> </tt>
-<a name="L987"></a><tt class="py-lineno"> 987</tt> <tt class="py-line"><tt class="py-docstring"> @param dates: A datetime object or a sequence of datetime objects.</tt> </tt>
-<a name="L988"></a><tt class="py-lineno"> 988</tt> <tt class="py-line"><tt class="py-docstring"> The datetime objects should not include a time-zone offset.</tt> </tt>
-<a name="L989"></a><tt class="py-lineno"> 989</tt> <tt class="py-line"><tt class="py-docstring"> </tt> </tt>
-<a name="L990"></a><tt class="py-lineno"> 990</tt> <tt class="py-line"><tt class="py-docstring"> @param nctime: A netCDF time variable object. The nctime object must have a</tt> </tt>
-<a name="L991"></a><tt class="py-lineno"> 991</tt> <tt class="py-line"><tt class="py-docstring"> C{units} attribute. The entries are assumed to be stored in increasing </tt> </tt>
-<a name="L992"></a><tt class="py-lineno"> 992</tt> <tt class="py-line"><tt class="py-docstring"> order.</tt> </tt>
-<a name="L993"></a><tt class="py-lineno"> 993</tt> <tt class="py-line"><tt class="py-docstring"> </tt> </tt>
-<a name="L994"></a><tt class="py-lineno"> 994</tt> <tt class="py-line"><tt class="py-docstring"> @param calendar: Describes the calendar used in the time calculation.</tt> </tt>
-<a name="L995"></a><tt class="py-lineno"> 995</tt> <tt class="py-line"><tt class="py-docstring"> Valid calendars C{'standard', 'gregorian', 'proleptic_gregorian'</tt> </tt>
-<a name="L996"></a><tt class="py-lineno"> 996</tt> <tt class="py-line"><tt class="py-docstring"> 'noleap', '365_day', '360_day', 'julian', 'all_leap', '366_day'}.</tt> </tt>
-<a name="L997"></a><tt class="py-lineno"> 997</tt> <tt class="py-line"><tt class="py-docstring"> Default is C{'standard'}, which is a mixed Julian/Gregorian calendar</tt> </tt>
-<a name="L998"></a><tt class="py-lineno"> 998</tt> <tt class="py-line"><tt class="py-docstring"> If C{calendar} is None, its value is given by C{nctime.calendar} or</tt> </tt>
-<a name="L999"></a><tt class="py-lineno"> 999</tt> <tt class="py-line"><tt class="py-docstring"> C{standard} if no such attribute exists.</tt> </tt>
-<a name="L1000"></a><tt class="py-lineno">1000</tt> <tt class="py-line"><tt class="py-docstring"> </tt> </tt>
-<a name="L1001"></a><tt class="py-lineno">1001</tt> <tt class="py-line"><tt class="py-docstring"> @param select: C{'exact', 'before', 'after', 'nearest'}</tt> </tt>
-<a name="L1002"></a><tt class="py-lineno">1002</tt> <tt class="py-line"><tt class="py-docstring"> The index selection method. C{exact} will return the indices perfectly </tt> </tt>
-<a name="L1003"></a><tt class="py-lineno">1003</tt> <tt class="py-line"><tt class="py-docstring"> matching the dates given. C{before} and C{after} will return the indices </tt> </tt>
-<a name="L1004"></a><tt class="py-lineno">1004</tt> <tt class="py-line"><tt class="py-docstring"> corresponding to the dates just before or just after the given dates if </tt> </tt>
-<a name="L1005"></a><tt class="py-lineno">1005</tt> <tt class="py-line"><tt class="py-docstring"> an exact match cannot be found. C{nearest} will return the indices that </tt> </tt>
-<a name="L1006"></a><tt class="py-lineno">1006</tt> <tt class="py-line"><tt class="py-docstring"> correpond to the closest dates. </tt> </tt>
-<a name="L1007"></a><tt class="py-lineno">1007</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
-<a name="L1008"></a><tt class="py-lineno">1008</tt> <tt class="py-line"> <tt class="py-comment"># Setting the calendar.</tt> </tt>
-<a name="L1009"></a><tt class="py-lineno">1009</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">calendar</tt> <tt class="py-op">==</tt> <tt class="py-name">None</tt><tt class="py-op">:</tt> </tt>
-<a name="L1010"></a><tt class="py-lineno">1010</tt> <tt class="py-line"> <tt class="py-name">calendar</tt> <tt class="py-op">=</tt> <tt class="py-name">getattr</tt><tt class="py-op">(</tt><tt class="py-name">nctime</tt><tt class="py-op">,</tt> <tt class="py-string">'calendar'</tt><tt class="py-op">,</tt> <tt class="py-string">'standard'</tt><tt class="py-op">)</tt> </tt>
-<a name="L1011"></a><tt class="py-lineno">1011</tt> <tt class="py-line"> </tt>
-<a name="L1012"></a><tt class="py-lineno">1012</tt> <tt class="py-line"> <tt class="py-name">num</tt> <tt class="py-op">=</tt> <tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">atleast_1d</tt><tt class="py-op">(</tt><tt id="link-60" class="py-name"><a title="netCDF3.date2num
-netCDF4.date2num
-netcdftime.netcdftime.date2num
-netcdftime.netcdftime.utime.date2num" class="py-name" href="#" onclick="return doclink('link-60', 'date2num', 'link-55');">date2num</a></tt><tt class="py-op">(</tt><tt class="py-name">dates</tt><tt class="py-op">,</tt> <tt class="py-name">nctime</tt><tt class="py-op">.</tt><tt class="py-name">units</tt><tt class="py-op">,</tt> <tt class="py-name">calendar</tt><tt class="py-op">)</tt><tt class="py-op">)</tt> </tt>
-<a name="L1013"></a><tt class="py-lineno">1013</tt> <tt class="py-line"> <tt class="py-name">N</tt> <tt class="py-op">=</tt> <tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">nctime</tt><tt class="py-op">)</tt> </tt>
-<a name="L1014"></a><tt class="py-lineno">1014</tt> <tt class="py-line"> </tt>
-<a name="L1015"></a><tt class="py-lineno">1015</tt> <tt class="py-line"> <tt class="py-comment"># Trying to infer the correct index from the starting time and the stride.</tt> </tt>
-<a name="L1016"></a><tt class="py-lineno">1016</tt> <tt class="py-line"> <tt class="py-comment"># This assumes that the times are increasing uniformly.</tt> </tt>
-<a name="L1017"></a><tt class="py-lineno">1017</tt> <tt class="py-line"> <tt class="py-name">t0</tt><tt class="py-op">,</tt> <tt class="py-name">t1</tt> <tt class="py-op">=</tt> <tt class="py-name">nctime</tt><tt class="py-op">[</tt><tt class="py-op">:</tt><tt class="py-number">2</tt><tt class="py-op">]</tt> </tt>
-<a name="L1018"></a><tt class="py-lineno">1018</tt> <tt class="py-line"> <tt class="py-name">dt</tt> <tt class="py-op">=</tt> <tt class="py-name">t1</tt> <tt class="py-op">-</tt> <tt class="py-name">t0</tt> </tt>
-<a name="L1019"></a><tt class="py-lineno">1019</tt> <tt class="py-line"> <tt class="py-name">index</tt> <tt class="py-op">=</tt> <tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">array</tt><tt class="py-op">(</tt><tt class="py-op">(</tt><tt class="py-name">num</tt><tt class="py-op">-</tt><tt class="py-name">t0</tt><tt class="py-op">)</tt><tt class="py-op">/</tt><tt class="py-name">dt</tt><tt class="py-op">,</tt> <tt class="py-name">int</tt><tt class="py-op">)< [...]
-<a name="L1020"></a><tt class="py-lineno">1020</tt> <tt class="py-line"> </tt>
-<a name="L1021"></a><tt class="py-lineno">1021</tt> <tt class="py-line"> <tt class="py-comment"># Checking that the index really corresponds to the given date.</tt> </tt>
-<a name="L1022"></a><tt class="py-lineno">1022</tt> <tt class="py-line"> <tt class="py-comment"># If the times do not correspond, then it means that the times</tt> </tt>
-<a name="L1023"></a><tt class="py-lineno">1023</tt> <tt class="py-line"> <tt class="py-comment"># are not increasing uniformly and we try the bisection method.</tt> </tt>
-<a name="L1024"></a><tt class="py-lineno">1024</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-keyword">not</tt> <tt class="py-name">_check_index</tt><tt class="py-op">(</tt><tt class="py-name">index</tt><tt class="py-op">,</tt> <tt class="py-name">dates</tt><tt class="py-op">,</tt> <tt class="py-name">nctime</tt><tt class="py-op">,</tt> <tt class="py-name">calendar</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-<a name="L1025"></a><tt class="py-lineno">1025</tt> <tt class="py-line"> </tt>
-<a name="L1026"></a><tt class="py-lineno">1026</tt> <tt class="py-line"> <tt class="py-comment"># Use the bisection method. Assumes the dates are ordered.</tt> </tt>
-<a name="L1027"></a><tt class="py-lineno">1027</tt> <tt class="py-line"> <tt class="py-keyword">import</tt> <tt class="py-name">bisect</tt> </tt>
-<a name="L1028"></a><tt class="py-lineno">1028</tt> <tt class="py-line"> <tt class="py-name">index</tt> <tt class="py-op">=</tt> <tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">array</tt><tt class="py-op">(</tt><tt class="py-op">[</tt><tt class="py-name">bisect</tt><tt class="py-op">.</tt><tt class="py-name">bisect_left</tt><tt class="py-op">(</tt><tt class="py-name">nctime</tt><tt class="py-op">,</tt> <tt class="py-name">n</tt><tt class="py-op">)</tt> < [...]
-<a name="L1029"></a><tt class="py-lineno">1029</tt> <tt class="py-line"> </tt>
-<a name="L1030"></a><tt class="py-lineno">1030</tt> <tt class="py-line"> <tt class="py-name">after</tt> <tt class="py-op">=</tt> <tt class="py-name">index</tt> <tt class="py-op">==</tt> <tt class="py-name">N</tt> </tt>
-<a name="L1031"></a><tt class="py-lineno">1031</tt> <tt class="py-line"> <tt class="py-name">before</tt> <tt class="py-op">=</tt> <tt class="py-name">index</tt> <tt class="py-op">==</tt> <tt class="py-number">0</tt> </tt>
-<a name="L1032"></a><tt class="py-lineno">1032</tt> <tt class="py-line"> </tt>
-<a name="L1033"></a><tt class="py-lineno">1033</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">select</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'before'</tt><tt class="py-op">,</tt> <tt class="py-string">'exact'</tt><tt class="py-op">]</tt> <tt class="py-keyword">and</tt> <tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">any</tt><tt class="py-op">(</tt><tt class="py-name">before</tt><tt c [...]
-<a name="L1034"></a><tt class="py-lineno">1034</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">'At least one of the dates given is before the first date in `nctime`.'</tt> </tt>
-<a name="L1035"></a><tt class="py-lineno">1035</tt> <tt class="py-line"> </tt>
-<a name="L1036"></a><tt class="py-lineno">1036</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">select</tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-string">'after'</tt><tt class="py-op">,</tt> <tt class="py-string">'exact'</tt><tt class="py-op">]</tt> <tt class="py-keyword">and</tt> <tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">any</tt><tt class="py-op">(</tt><tt class="py-name">after</tt><tt cla [...]
-<a name="L1037"></a><tt class="py-lineno">1037</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">'At least one of the dates given is after the last date in `nctime`.'</tt> </tt>
-<a name="L1038"></a><tt class="py-lineno">1038</tt> <tt class="py-line"> </tt>
-<a name="L1039"></a><tt class="py-lineno">1039</tt> <tt class="py-line"> </tt>
-<a name="L1040"></a><tt class="py-lineno">1040</tt> <tt class="py-line"> <tt class="py-comment"># Find the dates for which the match is not perfect.</tt> </tt>
-<a name="L1041"></a><tt class="py-lineno">1041</tt> <tt class="py-line"> <tt class="py-comment"># Use list comprehension instead of the simpler `nctime[index]` since</tt> </tt>
-<a name="L1042"></a><tt class="py-lineno">1042</tt> <tt class="py-line"> <tt class="py-comment"># not all time objects support numpy integer indexing (eg dap).</tt> </tt>
-<a name="L1043"></a><tt class="py-lineno">1043</tt> <tt class="py-line"> <tt class="py-name">index</tt><tt class="py-op">[</tt><tt class="py-name">after</tt><tt class="py-op">]</tt> <tt class="py-op">=</tt> <tt class="py-name">N</tt><tt class="py-op">-</tt><tt class="py-number">1</tt> </tt>
-<a name="L1044"></a><tt class="py-lineno">1044</tt> <tt class="py-line"> <tt class="py-name">ncnum</tt> <tt class="py-op">=</tt> <tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">squeeze</tt><tt class="py-op">(</tt><tt class="py-op">[</tt><tt class="py-name">nctime</tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> <tt class="py-keyword">for</tt> <tt class="py-name">i</tt> <tt class="py-keyword">in</tt> <tt class="py-name">index [...]
-<a name="L1045"></a><tt class="py-lineno">1045</tt> <tt class="py-line"> <tt class="py-name">mismatch</tt> <tt class="py-op">=</tt> <tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">nonzero</tt><tt class="py-op">(</tt><tt class="py-name">ncnum</tt> <tt class="py-op">!=</tt> <tt class="py-name">num</tt><tt class="py-op">)</tt><tt class="py-op">[</tt><tt class="py-number">0</tt><tt class="py-op">]</tt> </tt>
-<a name="L1046"></a><tt class="py-lineno">1046</tt> <tt class="py-line"> </tt>
-<a name="L1047"></a><tt class="py-lineno">1047</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">select</tt> <tt class="py-op">==</tt> <tt class="py-string">'exact'</tt><tt class="py-op">:</tt> </tt>
-<a name="L1048"></a><tt class="py-lineno">1048</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">mismatch</tt><tt class="py-op">)</tt> <tt class="py-op">></tt> <tt class="py-number">0</tt><tt class="py-op">:</tt> </tt>
-<a name="L1049"></a><tt class="py-lineno">1049</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">,</tt> <tt class="py-string">'Some of the dates specified were not found in the `nctime` variable.'</tt> </tt>
-<a name="L1050"></a><tt class="py-lineno">1050</tt> <tt class="py-line"> </tt>
-<a name="L1051"></a><tt class="py-lineno">1051</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">select</tt> <tt class="py-op">==</tt> <tt class="py-string">'before'</tt><tt class="py-op">:</tt> </tt>
-<a name="L1052"></a><tt class="py-lineno">1052</tt> <tt class="py-line"> <tt class="py-name">index</tt><tt class="py-op">[</tt><tt class="py-name">after</tt><tt class="py-op">]</tt> <tt class="py-op">=</tt> <tt class="py-name">N</tt> </tt>
-<a name="L1053"></a><tt class="py-lineno">1053</tt> <tt class="py-line"> <tt class="py-name">index</tt><tt class="py-op">[</tt><tt class="py-name">mismatch</tt><tt class="py-op">]</tt> <tt class="py-op">-=</tt> <tt class="py-number">1</tt> </tt>
-<a name="L1054"></a><tt class="py-lineno">1054</tt> <tt class="py-line"> </tt>
-<a name="L1055"></a><tt class="py-lineno">1055</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">select</tt> <tt class="py-op">==</tt> <tt class="py-string">'after'</tt><tt class="py-op">:</tt> </tt>
-<a name="L1056"></a><tt class="py-lineno">1056</tt> <tt class="py-line"> <tt class="py-keyword">pass</tt> </tt>
-<a name="L1057"></a><tt class="py-lineno">1057</tt> <tt class="py-line"> </tt>
-<a name="L1058"></a><tt class="py-lineno">1058</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">select</tt> <tt class="py-op">==</tt> <tt class="py-string">'nearest'</tt><tt class="py-op">:</tt> </tt>
-<a name="L1059"></a><tt class="py-lineno">1059</tt> <tt class="py-line"> <tt class="py-name">nearest_to_left</tt> <tt class="py-op">=</tt> <tt class="py-name">num</tt><tt class="py-op">[</tt><tt class="py-name">mismatch</tt><tt class="py-op">]</tt> <tt class="py-op"><</tt> <tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">array</tt><tt class="py-op">(</tt> <tt class="py-op">[</tt><tt class="py-name">nctime</tt><tt class="py-op">[</tt><tt class="py-n [...]
-<a name="L1060"></a><tt class="py-lineno">1060</tt> <tt class="py-line"> <tt class="py-name">index</tt><tt class="py-op">[</tt><tt class="py-name">mismatch</tt><tt class="py-op">]</tt> <tt class="py-op">=</tt> <tt class="py-name">index</tt><tt class="py-op">[</tt><tt class="py-name">mismatch</tt><tt class="py-op">]</tt> <tt class="py-op">-</tt> <tt class="py-number">1</tt> <tt class="py-op">*</tt> <tt class="py-name">nearest_to_left</tt> </tt>
-<a name="L1061"></a><tt class="py-lineno">1061</tt> <tt class="py-line"> </tt>
-<a name="L1062"></a><tt class="py-lineno">1062</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L1063"></a><tt class="py-lineno">1063</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">ValueError</tt><tt class="py-op">(</tt><tt class="py-string">"%s is not an option for the `select` argument."</tt><tt class="py-op">%</tt><tt class="py-name">select</tt><tt class="py-op">)</tt> </tt>
-<a name="L1064"></a><tt class="py-lineno">1064</tt> <tt class="py-line"> </tt>
-<a name="L1065"></a><tt class="py-lineno">1065</tt> <tt class="py-line"> </tt>
-<a name="L1066"></a><tt class="py-lineno">1066</tt> <tt class="py-line"> <tt class="py-comment"># Correct for indices equal to -1</tt> </tt>
-<a name="L1067"></a><tt class="py-lineno">1067</tt> <tt class="py-line"> <tt class="py-name">index</tt><tt class="py-op">[</tt><tt class="py-name">before</tt><tt class="py-op">]</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> </tt>
-<a name="L1068"></a><tt class="py-lineno">1068</tt> <tt class="py-line"> </tt>
-<a name="L1069"></a><tt class="py-lineno">1069</tt> <tt class="py-line"> <tt class="py-comment"># convert numpy scalars or single element arrays to python ints.</tt> </tt>
-<a name="L1070"></a><tt class="py-lineno">1070</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">_toscalar</tt><tt class="py-op">(</tt><tt class="py-name">index</tt><tt class="py-op">)</tt> </tt>
-</div><a name="L1071"></a><tt class="py-lineno">1071</tt> <tt class="py-line"> </tt>
-<a name="L1072"></a><tt class="py-lineno">1072</tt> <tt class="py-line"> </tt>
-<a name="_toscalar"></a><div id="_toscalar-def"><a name="L1073"></a><tt class="py-lineno">1073</tt> <a class="py-toggle" href="#" id="_toscalar-toggle" onclick="return toggle('_toscalar');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="netcdftime.netcdftime-module.html#_toscalar">_toscalar</a><tt class="py-op">(</tt><tt class="py-param">a</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
-</div><div id="_toscalar-collapsed" style="display:none;" pad="++++" indent="++++"></div><div id="_toscalar-expanded"><a name="L1074"></a><tt class="py-lineno">1074</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">a</tt><tt class="py-op">.</tt><tt id="link-61" class="py-name"><a title="netCDF3.Variable.shape
-netCDF4.Variable.shape" class="py-name" href="#" onclick="return doclink('link-61', 'shape', 'link-17');">shape</a></tt> <tt class="py-keyword">in</tt> <tt class="py-op">[</tt><tt class="py-op">(</tt><tt class="py-op">)</tt><tt class="py-op">,</tt><tt class="py-op">(</tt><tt class="py-number">1</tt><tt class="py-op">,</tt><tt class="py-op">)</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
-<a name="L1075"></a><tt class="py-lineno">1075</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">a</tt><tt class="py-op">.</tt><tt class="py-name">item</tt><tt class="py-op">(</tt><tt class="py-op">)</tt> </tt>
-<a name="L1076"></a><tt class="py-lineno">1076</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
-<a name="L1077"></a><tt class="py-lineno">1077</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">a</tt> </tt>
-</div><a name="L1078"></a><tt class="py-lineno">1078</tt> <tt class="py-line"> </tt><script type="text/javascript">
-<!--
-expandto(location.href);
-// -->
-</script>
-</pre>
-<br />
-<!-- ==================== NAVIGATION BAR ==================== -->
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diff --git a/docs/netcdftime.netcdftime.datetime-class.html b/docs/netcdftime.netcdftime.datetime-class.html
deleted file mode 100644
index ee6a904..0000000
--- a/docs/netcdftime.netcdftime.datetime-class.html
+++ /dev/null
@@ -1,185 +0,0 @@
-<?xml version="1.0" encoding="ascii"?>
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
- "DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
-<head>
- <title>netcdftime.netcdftime.datetime</title>
- <link rel="stylesheet" href="epydoc.css" type="text/css" />
- <script type="text/javascript" src="epydoc.js"></script>
-</head>
-
-<body bgcolor="white" text="black" link="blue" vlink="#204080"
- alink="#204080">
-<!-- ==================== NAVIGATION BAR ==================== -->
-<table class="navbar" border="0" width="100%" cellpadding="0"
- bgcolor="#a0c0ff" cellspacing="0">
- <tr valign="middle">
-
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- href="module-tree.html">Trees</a> </th>
-
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- href="identifier-index.html">Indices</a> </th>
-
- <!-- Help link -->
- <th> <a
- href="help.html">Help</a> </th>
-
- <th class="navbar" width="100%"></th>
- </tr>
-</table>
-<table width="100%" cellpadding="0" cellspacing="0">
- <tr valign="top">
- <td width="100%">
- <span class="breadcrumbs">
- Package netcdftime ::
- <a href="netcdftime.netcdftime-module.html">Module netcdftime</a> ::
- Class datetime
- </span>
- </td>
- <td>
- <table cellpadding="0" cellspacing="0">
- <!-- hide/show private -->
- </table>
- </td>
- </tr>
-</table>
-<!-- ==================== CLASS DESCRIPTION ==================== -->
-<h1 class="epydoc">Class datetime</h1><p class="nomargin-top"><span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#datetime">source code</a></span></p>
-<p>Phony datetime object which mimics the python datetime object, but
- allows for dates that don't exist in the proleptic gregorian calendar.
- Doesn't do timedelta operations, doesn't overload + and -.</p>
- <p>Has strftime, timetuple and __repr__ methods. The format of the
- string produced by __repr__ is controlled by self.format (default
- %Y-%m-%d %H:%M:%S).</p>
- <p>Instance variables are
- year,month,day,hour,minute,second,dayofwk,dayofyr and format.</p>
-
-<!-- ==================== INSTANCE METHODS ==================== -->
-<a name="section-InstanceMethods"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Instance Methods</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="__init__"></a><span class="summary-sig-name">__init__</span>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">year</span>,
- <span class="summary-sig-arg">month</span>,
- <span class="summary-sig-arg">day</span>,
- <span class="summary-sig-arg">hour</span>=<span class="summary-sig-default">0</span>,
- <span class="summary-sig-arg">minute</span>=<span class="summary-sig-default">0</span>,
- <span class="summary-sig-arg">second</span>=<span class="summary-sig-default">0</span>,
- <span class="summary-sig-arg">dayofwk</span>=<span class="summary-sig-default">-1</span>,
- <span class="summary-sig-arg">dayofyr</span>=<span class="summary-sig-default">1</span>)</span><br />
- dayofyr set to 1 by default - otherwise time.strftime will complain</td>
- <td align="right" valign="top">
- <span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#datetime.__init__">source code</a></span>
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="__repr__"></a><span class="summary-sig-name">__repr__</span>(<span class="summary-sig-arg">self</span>)</span></td>
- <td align="right" valign="top">
- <span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#datetime.__repr__">source code</a></span>
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="strftime"></a><span class="summary-sig-name">strftime</span>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">format</span>=<span class="summary-sig-default">None</span>)</span></td>
- <td align="right" valign="top">
- <span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#datetime.strftime">source code</a></span>
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a name="timetuple"></a><span class="summary-sig-name">timetuple</span>(<span class="summary-sig-arg">self</span>)</span></td>
- <td align="right" valign="top">
- <span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#datetime.timetuple">source code</a></span>
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-</table>
-<!-- ==================== NAVIGATION BAR ==================== -->
-<table class="navbar" border="0" width="100%" cellpadding="0"
- bgcolor="#a0c0ff" cellspacing="0">
- <tr valign="middle">
-
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- href="module-tree.html">Trees</a> </th>
-
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- href="identifier-index.html">Indices</a> </th>
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- href="help.html">Help</a> </th>
-
- <th class="navbar" width="100%"></th>
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- Generated by Epydoc 3.0.1 on Thu Jul 8 10:58:35 2010
- </td>
- <td align="right" class="footer">
- <a target="mainFrame" href="http://epydoc.sourceforge.net"
- >http://epydoc.sourceforge.net</a>
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- <!--
- // Private objects are initially displayed (because if
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- // visible); but by default, we want to hide them. So hide
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- checkCookie();
- // -->
-</script>
-</body>
-</html>
diff --git a/docs/netcdftime.netcdftime.utime-class.html b/docs/netcdftime.netcdftime.utime-class.html
deleted file mode 100644
index 791f01b..0000000
--- a/docs/netcdftime.netcdftime.utime-class.html
+++ /dev/null
@@ -1,467 +0,0 @@
-<?xml version="1.0" encoding="ascii"?>
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
- "DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
-<head>
- <title>netcdftime.netcdftime.utime</title>
- <link rel="stylesheet" href="epydoc.css" type="text/css" />
- <script type="text/javascript" src="epydoc.js"></script>
-</head>
-
-<body bgcolor="white" text="black" link="blue" vlink="#204080"
- alink="#204080">
-<!-- ==================== NAVIGATION BAR ==================== -->
-<table class="navbar" border="0" width="100%" cellpadding="0"
- bgcolor="#a0c0ff" cellspacing="0">
- <tr valign="middle">
-
- <!-- Tree link -->
- <th> <a
- href="module-tree.html">Trees</a> </th>
-
- <!-- Index link -->
- <th> <a
- href="identifier-index.html">Indices</a> </th>
-
- <!-- Help link -->
- <th> <a
- href="help.html">Help</a> </th>
-
- <th class="navbar" width="100%"></th>
- </tr>
-</table>
-<table width="100%" cellpadding="0" cellspacing="0">
- <tr valign="top">
- <td width="100%">
- <span class="breadcrumbs">
- Package netcdftime ::
- <a href="netcdftime.netcdftime-module.html">Module netcdftime</a> ::
- Class utime
- </span>
- </td>
- <td>
- <table cellpadding="0" cellspacing="0">
- <!-- hide/show private -->
- </table>
- </td>
- </tr>
-</table>
-<!-- ==================== CLASS DESCRIPTION ==================== -->
-<h1 class="epydoc">Class utime</h1><p class="nomargin-top"><span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#utime">source code</a></span></p>
-<p>Performs conversions of netCDF time coordinate data to/from datetime
- objects.</p>
- <p>To initialize: <code>t =
- utime(unit_string,calendar='standard')</code></p>
- <p>where</p>
- <p><b><code>unit_string</code></b> is a string of the form
- <code>'time-units since <time-origin>'</code> defining the time
- units.</p>
- <p>Valid time-units are days, hours, minutes and seconds (the singular
- forms are also accepted). An example unit_string would be <code>'hours
- since 0001-01-01 00:00:00'</code>.</p>
- <p>The <b><code>calendar</code></b> keyword describes the calendar used
- in the time calculations. All the values currently defined in the <a
- href="http://cf-pcmdi.llnl.gov/documents/cf-conventions/1.1/cf-conventions.html#time-coordinate"
- target="_top">CF metadata convention</a> are accepted. The default is
- <code>'standard'</code>, which corresponds to the mixed Gregorian/Julian
- calendar used by the <code>udunits library</code>. Valid calendars
- are:</p>
- <p><code>'gregorian'</code> or <code>'standard'</code> (default):</p>
- <p>Mixed Gregorian/Julian calendar as defined by udunits.</p>
- <p><code>'proleptic_gregorian'</code>:</p>
- <p>A Gregorian calendar extended to dates before 1582-10-15. That is, a
- year is a leap year if either (i) it is divisible by 4 but not by 100 or
- (ii) it is divisible by 400.</p>
- <p><code>'noleap'</code> or <code>'365_day'</code>:</p>
- <p>Gregorian calendar without leap years, i.e., all years are 365 days
- long. all_leap or 366_day Gregorian calendar with every year being a leap
- year, i.e., all years are 366 days long.</p>
- <p><code>'360_day'</code>:</p>
- <p>All years are 360 days divided into 30 day months.</p>
- <p><code>'julian'</code>:</p>
- <p>Proleptic Julian calendar, extended to dates after 1582-10-5. A year
- is a leap year if it is divisible by 4.</p>
- <p>The <code><a href="netcdftime.netcdftime.utime-class.html#num2date"
- class="link">num2date</a></code> and <code><a
- href="netcdftime.netcdftime.utime-class.html#date2num"
- class="link">date2num</a></code> class methods can used to convert
- datetime instances to/from the specified time units using the specified
- calendar.</p>
- <p>The datetime instances returned by <code>num2date</code> are 'real'
- python datetime objects if the date falls in the Gregorian calendar (i.e.
- <code>calendar='proleptic_gregorian', 'standard'</code> or
- <code>'gregorian'</code> and the date is after 1582-10-15). Otherwise,
- they are 'phony' datetime objects which are actually instances of
- <code><a href="netcdftime.netcdftime.datetime-class.html"
- class="link">netcdftime.datetime</a></code>. This is because the python
- datetime module cannot handle the weird dates in some calendars (such as
- <code>'360_day'</code> and <code>'all_leap'</code>) which don't exist in
- any real world calendar.</p>
- <p>Example usage:</p>
-<pre class="py-doctest">
-<span class="py-prompt">>>> </span><span class="py-keyword">from</span> netcdftime <span class="py-keyword">import</span> utime
-<span class="py-prompt">>>> </span><span class="py-keyword">from</span> datetime <span class="py-keyword">import</span> datetime
-<span class="py-prompt">>>> </span>cdftime = utime(<span class="py-string">'hours since 0001-01-01 00:00:00'</span>)
-<span class="py-prompt">>>> </span>date = datetime.now()
-<span class="py-prompt">>>> </span><span class="py-keyword">print</span> date
-<span class="py-output">2006-03-17 16:04:02.561678</span>
-<span class="py-output"></span><span class="py-prompt">>>></span>
-<span class="py-prompt">>>> </span>t = cdftime.date2num(date)
-<span class="py-prompt">>>> </span><span class="py-keyword">print</span> t
-<span class="py-output">17577328.0672</span>
-<span class="py-output"></span><span class="py-prompt">>>></span>
-<span class="py-prompt">>>> </span>date = cdftime.num2date(t)
-<span class="py-prompt">>>> </span><span class="py-keyword">print</span> date
-<span class="py-output">2006-03-17 16:04:02</span>
-<span class="py-output"></span><span class="py-prompt">>>></span></pre>
- <p>The resolution of the transformation operation is 1 second.</p>
- <p>Warning: Dates between 1582-10-5 and 1582-10-15 do not exist in the
- <code>'standard'</code> or <code>'gregorian'</code> calendars. An
- exception will be raised if you pass a 'datetime-like' object in that
- range to the <code><a
- href="netcdftime.netcdftime.utime-class.html#date2num"
- class="link">date2num</a></code> class method.</p>
- <p>Words of Wisdom from the British MetOffice concerning reference
- dates:</p>
- <p>"udunits implements the mixed Gregorian/Julian calendar system,
- as followed in England, in which dates prior to 1582-10-15 are assumed to
- use the Julian calendar. Other software cannot be relied upon to handle
- the change of calendar in the same way, so for robustness it is
- recommended that the reference date be later than 1582. If earlier dates
- must be used, it should be noted that udunits treats 0 AD as identical to
- 1 AD."</p>
-
-<!-- ==================== INSTANCE METHODS ==================== -->
-<a name="section-InstanceMethods"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Instance Methods</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netcdftime.netcdftime.utime-class.html#__init__" class="summary-sig-name">__init__</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">unit_string</span>,
- <span class="summary-sig-arg">calendar</span>=<span class="summary-sig-default"><code class="variable-quote">'</code><code class="variable-string">standard</code><code class="variable-quote">'</code></span>)</span><br />
- Returns:
- A class instance which may be used for converting times from netCDF
- units to datetime objects.</td>
- <td align="right" valign="top">
- <span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#utime.__init__">source code</a></span>
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netcdftime.netcdftime.utime-class.html#date2num" class="summary-sig-name">date2num</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">date</span>)</span><br />
- Returns <code>time_value</code> in units described by <a
- href="netcdftime.netcdftime.utime-class.html#unit_string"
- class="link">unit_string</a>, using the specified <a
- href="netcdftime.netcdftime.utime-class.html#calendar"
- class="link">calendar</a>, given a 'datetime-like' object.</td>
- <td align="right" valign="top">
- <span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#utime.date2num">source code</a></span>
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr>
- <td><span class="summary-sig"><a href="netcdftime.netcdftime.utime-class.html#num2date" class="summary-sig-name">num2date</a>(<span class="summary-sig-arg">self</span>,
- <span class="summary-sig-arg">time_value</span>)</span><br />
- Return a 'datetime-like' object given a <code>time_value</code> in
- units described by <a
- href="netcdftime.netcdftime.utime-class.html#unit_string"
- class="link">unit_string</a>, using <a
- href="netcdftime.netcdftime.utime-class.html#calendar"
- class="link">calendar</a>.</td>
- <td align="right" valign="top">
- <span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#utime.num2date">source code</a></span>
-
- </td>
- </tr>
- </table>
-
- </td>
- </tr>
-</table>
-<!-- ==================== INSTANCE VARIABLES ==================== -->
-<a name="section-InstanceVariables"></a>
-<table class="summary" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Instance Variables</span></td>
-</tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a name="calendar"></a><span class="summary-name">calendar</span><br />
- the calendar used (as specified by the <code>calendar</code>
- keyword).
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a name="origin"></a><span class="summary-name">origin</span><br />
- datetime instance defining the origin of the netCDF time variable.
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a name="unit_string"></a><span class="summary-name">unit_string</span><br />
- a string defining the the netCDF time variable.
- </td>
- </tr>
-<tr>
- <td width="15%" align="right" valign="top" class="summary">
- <span class="summary-type"> </span>
- </td><td class="summary">
- <a href="netcdftime.netcdftime.utime-class.html#units" class="summary-name">units</a><br />
- the units part of <code>unit_string</code> (i.e.
- </td>
- </tr>
-</table>
-<!-- ==================== METHOD DETAILS ==================== -->
-<a name="section-MethodDetails"></a>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Method Details</span></td>
-</tr>
-</table>
-<a name="__init__"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">__init__</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">unit_string</span>,
- <span class="sig-arg">calendar</span>=<span class="sig-default"><code class="variable-quote">'</code><code class="variable-string">standard</code><code class="variable-quote">'</code></span>)</span>
- <br /><em class="fname">(Constructor)</em>
- </h3>
- </td><td align="right" valign="top"
- ><span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#utime.__init__">source code</a></span>
- </td>
- </tr></table>
-
-
- <dl class="fields">
- <dt>Parameters:</dt>
- <dd><ul class="nomargin-top">
- <li><strong class="pname"><code>unit_string</code></strong> - a string of the form <code>'time-units since
- <time-origin>'</code> defining the time units.
- <p>Valid time-units are days, hours, minutes and seconds (the
- singular forms are also accepted). An example unit_string would
- be <code>'hours since 0001-01-01 00:00:00'</code>.</p></li>
- <li><strong class="pname"><code>calendar</code></strong> - describes the calendar used in the time calculations. All the
- values currently defined in the <a
- href="http://cf-pcmdi.llnl.gov/documents/cf-conventions/1.1/cf-conventions.html#time-coordinate"
- target="_top">CF metadata convention</a> are accepted. The
- default is <code>'standard'</code>, which corresponds to the
- mixed Gregorian/Julian calendar used by the <code>udunits
- library</code>. Valid calendars are:
- <ul>
- <li>
- <code>'gregorian'</code> or <code>'standard'</code>
- (default): Mixed Gregorian/Julian calendar as defined by
- udunits.
- </li>
- <li>
- <code>'proleptic_gregorian'</code>: A Gregorian calendar
- extended to dates before 1582-10-15. That is, a year is a
- leap year if either (i) it is divisible by 4 but not by 100
- or (ii) it is divisible by 400.
- </li>
- <li>
- <code>'noleap'</code> or <code>'365_day'</code>: Gregorian
- calendar without leap years, i.e., all years are 365 days
- long.
- </li>
- <li>
- <code>'all_leap'</code> or <code>'366_day'</code>: Gregorian
- calendar with every year being a leap year, i.e., all years
- are 366 days long. -<code>'360_day'</code>: All years are 360
- days divided into 30 day months. -<code>'julian'</code>:
- Proleptic Julian calendar, extended to dates after 1582-10-5.
- A year is a leap year if it is divisible by 4.
- </li>
- </ul></li>
- </ul></dd>
- <dt>Returns:</dt>
- <dd>A class instance which may be used for converting times from
- netCDF units to datetime objects.</dd>
- </dl>
-</td></tr></table>
-</div>
-<a name="date2num"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">date2num</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">date</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- ><span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#utime.date2num">source code</a></span>
- </td>
- </tr></table>
-
- <p>Returns <code>time_value</code> in units described by <a
- href="netcdftime.netcdftime.utime-class.html#unit_string"
- class="link">unit_string</a>, using the specified <a
- href="netcdftime.netcdftime.utime-class.html#calendar"
- class="link">calendar</a>, given a 'datetime-like' object.</p>
- <p>The datetime object must represent UTC with no time-zone offset. If
- there is a time-zone offset implied by <a
- href="netcdftime.netcdftime.utime-class.html#unit_string"
- class="link">unit_string</a>, it will be applied to the returned numeric
- values.</p>
- <p>Resolution is 1 second.</p>
- <p>If <code>calendar = 'standard'</code> or <code>'gregorian'</code>
- (indicating that the mixed Julian/Gregorian calendar is to be used), an
- exception will be raised if the 'datetime-like' object describes a date
- between 1582-10-5 and 1582-10-15.</p>
- <p>Works for scalars, sequences and numpy arrays. Returns a scalar if
- input is a scalar, else returns a numpy array.</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<a name="num2date"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <table width="100%" cellpadding="0" cellspacing="0" border="0">
- <tr valign="top"><td>
- <h3 class="epydoc"><span class="sig"><span class="sig-name">num2date</span>(<span class="sig-arg">self</span>,
- <span class="sig-arg">time_value</span>)</span>
- </h3>
- </td><td align="right" valign="top"
- ><span class="codelink"><a href="netcdftime.netcdftime-pysrc.html#utime.num2date">source code</a></span>
- </td>
- </tr></table>
-
- <p>Return a 'datetime-like' object given a <code>time_value</code> in
- units described by <a
- href="netcdftime.netcdftime.utime-class.html#unit_string"
- class="link">unit_string</a>, using <a
- href="netcdftime.netcdftime.utime-class.html#calendar"
- class="link">calendar</a>.</p>
- <p>dates are in UTC with no offset, even if <a
- href="netcdftime.netcdftime.utime-class.html#unit_string"
- class="link">unit_string</a> contains a time zone offset from UTC.</p>
- <p>Resolution is 1 second.</p>
- <p>Works for scalars, sequences and numpy arrays. Returns a scalar if
- input is a scalar, else returns a numpy array.</p>
- <p>The datetime instances returned by <code>num2date</code> are 'real'
- python datetime objects if the date falls in the Gregorian calendar (i.e.
- <code>calendar='proleptic_gregorian'</code>, or <code>calendar =
- 'standard'/'gregorian'</code> and the date is after 1582-10-15).
- Otherwise, they are 'phony' datetime objects which are actually instances
- of netcdftime.datetime. This is because the python datetime module
- cannot handle the weird dates in some calendars (such as
- <code>'360_day'</code> and <code>'all_leap'</code>) which do not exist in
- any real world calendar.</p>
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<br />
-<!-- ==================== INSTANCE VARIABLE DETAILS ==================== -->
-<a name="section-InstanceVariableDetails"></a>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr bgcolor="#70b0f0" class="table-header">
- <td align="left" colspan="2" class="table-header">
- <span class="table-header">Instance Variable Details</span></td>
-</tr>
-</table>
-<a name="units"></a>
-<div>
-<table class="details" border="1" cellpadding="3"
- cellspacing="0" width="100%" bgcolor="white">
-<tr><td>
- <h3 class="epydoc">units</h3>
- the units part of <code>unit_string</code> (i.e. 'days', 'hours',
- 'seconds').
- <dl class="fields">
- </dl>
-</td></tr></table>
-</div>
-<br />
-<!-- ==================== NAVIGATION BAR ==================== -->
-<table class="navbar" border="0" width="100%" cellpadding="0"
- bgcolor="#a0c0ff" cellspacing="0">
- <tr valign="middle">
-
- <!-- Tree link -->
- <th> <a
- href="module-tree.html">Trees</a> </th>
-
- <!-- Index link -->
- <th> <a
- href="identifier-index.html">Indices</a> </th>
-
- <!-- Help link -->
- <th> <a
- href="help.html">Help</a> </th>
-
- <th class="navbar" width="100%"></th>
- </tr>
-</table>
-<table border="0" cellpadding="0" cellspacing="0" width="100%%">
- <tr>
- <td align="left" class="footer">
- Generated by Epydoc 3.0.1 on Thu Jul 8 10:58:35 2010
- </td>
- <td align="right" class="footer">
- <a target="mainFrame" href="http://epydoc.sourceforge.net"
- >http://epydoc.sourceforge.net</a>
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-
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- <!--
- // Private objects are initially displayed (because if
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- // visible); but by default, we want to hide them. So hide
- // them unless we have a cookie that says to show them.
- checkCookie();
- // -->
-</script>
-</body>
-</html>
diff --git a/examples/data/prmsl.2000.nc b/examples/data/prmsl.2000.nc
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diff --git a/examples/reading_netCDF.ipynb b/examples/reading_netCDF.ipynb
new file mode 100644
index 0000000..acc8a9c
--- /dev/null
+++ b/examples/reading_netCDF.ipynb
@@ -0,0 +1,1308 @@
+{
+ "metadata": {
+ "name": "",
+ "signature": "sha256:dd72246b5115e614f58e416dbaf20bdc9b9fd21cd509e3765fca519ab90d3930"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "slide_helper": "subslide_end",
+ "slide_type": "subslide"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "# Reading netCDF data\n",
+ "- requires [numpy](http://numpy.scipy.org) and netCDF/HDF5 C libraries.\n",
+ "- Github site: https://github.com/Unidata/netcdf4-python\n",
+ "- Online docs: http://unidata.github.io/netcdf4-python/\n",
+ "- Based on Konrad Hinsen's old [Scientific.IO.NetCDF](http://dirac.cnrs-orleans.fr/plone/software/scientificpython/) API, with lots of added netcdf version 4 features.\n",
+ "- Developed by Jeff Whitaker at NOAA, with many contributions from users.\n",
+ "\n",
+ "**Important Note**: To run this notebook, you will need the data files from the github repository (the data is not included in the source tarball release). Please go to https://github.com/Unidata/netcdf4-python and follow the instructions for cloning the repository."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Interactively exploring a netCDF File\n",
+ "\n",
+ "Let's explore a netCDF file from the *Atlantic Real-Time Ocean Forecast System*\n",
+ "\n",
+ "first, import netcdf4-python and numpy"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from __future__ import print_function # make sure print behaves the same in 2.7 and 3.x\n",
+ "import netCDF4\n",
+ "import numpy as np"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_number": 2,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [],
+ "prompt_number": 1
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 2,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Create a netCDF4.Dataset object\n",
+ "- **`f`** is a `Dataset` object, representing an open netCDF file.\n",
+ "- printing the object gives you summary information, similar to *`ncdump -h`*."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "f = netCDF4.Dataset('data/rtofs_glo_3dz_f006_6hrly_reg3.nc')\n",
+ "print(f) "
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 4,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "<type 'netCDF4.Dataset'>\n",
+ "root group (NETCDF4_CLASSIC data model, file format HDF5):\n",
+ " Conventions: CF-1.0\n",
+ " title: HYCOM ATLb2.00\n",
+ " institution: National Centers for Environmental Prediction\n",
+ " source: HYCOM archive file\n",
+ " experiment: 90.9\n",
+ " history: archv2ncdf3z\n",
+ " dimensions(sizes): MT(1), Y(850), X(712), Depth(10)\n",
+ " variables(dimensions): float64 \u001b[4mMT\u001b[0m(MT), float64 \u001b[4mDate\u001b[0m(MT), float32 \u001b[4mDepth\u001b[0m(Depth), int32 \u001b[4mY\u001b[0m(Y), int32 \u001b[4mX\u001b[0m(X), float32 \u001b[4mLatitude\u001b[0m(Y,X), float32 \u001b[4mLongitude\u001b[0m(Y,X), float32 \u001b[4mu\u001b[0m(MT,Depth,Y,X), float32 \u001b[4mv\u001b[0m(MT,Depth,Y,X), float32 \u001b[4mtemperature\u001b[0m(MT,Depth,Y,X), float32 \u001b[4msalinity\u001b[0m(MT,Depth,Y,X)\n",
+ " groups: \n",
+ "\n"
+ ]
+ }
+ ],
+ "prompt_number": 2
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 4,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Access a netCDF variable\n",
+ "- variable objects stored by name in **`variables`** dict.\n",
+ "- print the variable yields summary info (including all the attributes).\n",
+ "- no actual data read yet (just have a reference to the variable object with metadata)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "print(f.variables.keys()) # get all variable names\n",
+ "temp = f.variables['temperature'] # temperature variable\n",
+ "print(temp) "
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 6,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "[u'MT', u'Date', u'Depth', u'Y', u'X', u'Latitude', u'Longitude', u'u', u'v', u'temperature', u'salinity']\n",
+ "<type 'netCDF4.Variable'>\n",
+ "float32 temperature(MT, Depth, Y, X)\n",
+ " coordinates: Longitude Latitude Date\n",
+ " standard_name: sea_water_potential_temperature\n",
+ " units: degC\n",
+ " _FillValue: 1.26765e+30\n",
+ " valid_range: [ -5.07860279 11.14989948]\n",
+ " long_name: temp [90.9H]\n",
+ "unlimited dimensions: MT\n",
+ "current shape = (1, 10, 850, 712)\n",
+ "filling on\n"
+ ]
+ }
+ ],
+ "prompt_number": 3
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 6,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## List the Dimensions\n",
+ "\n",
+ "- All variables in a netCDF file have an associated shape, specified by a list of dimensions.\n",
+ "- Let's list all the dimensions in this netCDF file.\n",
+ "- Note that the **`MT`** dimension is special (*`unlimited`*), which means it can be appended to."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "for d in f.dimensions.items():\n",
+ " print(d)"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 8
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "(u'MT', <type 'netCDF4.Dimension'> (unlimited): name = 'MT', size = 1\n",
+ ")\n",
+ "(u'Y', <type 'netCDF4.Dimension'>: name = 'Y', size = 850\n",
+ ")\n",
+ "(u'X', <type 'netCDF4.Dimension'>: name = 'X', size = 712\n",
+ ")\n",
+ "(u'Depth', <type 'netCDF4.Dimension'>: name = 'Depth', size = 10\n",
+ ")\n"
+ ]
+ }
+ ],
+ "prompt_number": 4
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 9
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "source": [
+ "Each variable has a **`dimensions`** and a **`shape`** attribute."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "temp.dimensions"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 10
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 5,
+ "text": [
+ "(u'MT', u'Depth', u'Y', u'X')"
+ ]
+ }
+ ],
+ "prompt_number": 5
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "temp.shape"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 11,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 6,
+ "text": [
+ "(1, 10, 850, 712)"
+ ]
+ }
+ ],
+ "prompt_number": 6
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 11,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "### Each dimension typically has a variable associated with it (called a *coordinate* variable).\n",
+ "- *Coordinate variables* are 1D variables that have the same name as dimensions.\n",
+ "- Coordinate variables and *auxiliary coordinate variables* (named by the *coordinates* attribute) locate values in time and space."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "mt = f.variables['MT']\n",
+ "depth = f.variables['Depth']\n",
+ "x,y = f.variables['X'], f.variables['Y']\n",
+ "print(mt)\n",
+ "print(x) "
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 13,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "<type 'netCDF4.Variable'>\n",
+ "float64 MT(MT)\n",
+ " long_name: time\n",
+ " units: days since 1900-12-31 00:00:00\n",
+ " calendar: standard\n",
+ " axis: T\n",
+ "unlimited dimensions: MT\n",
+ "current shape = (1,)\n",
+ "filling on, default _FillValue of 9.96920996839e+36 used\n",
+ "\n",
+ "<type 'netCDF4.Variable'>\n",
+ "int32 X(X)\n",
+ " point_spacing: even\n",
+ " axis: X\n",
+ "unlimited dimensions: \n",
+ "current shape = (712,)\n",
+ "filling on, default _FillValue of -2147483647 used\n",
+ "\n"
+ ]
+ }
+ ],
+ "prompt_number": 7
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 13,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Accessing data from a netCDF variable object\n",
+ "\n",
+ "- netCDF variables objects behave much like numpy arrays.\n",
+ "- slicing a netCDF variable object returns a numpy array with the data.\n",
+ "- Boolean array and integer sequence indexing behaves differently for netCDF variables than for numpy arrays. Only 1-d boolean arrays and integer sequences are allowed, and these indices work independently along each dimension (similar to the way vector subscripts work in fortran)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "time = mt[:] # Reads the netCDF variable MT, array of one element\n",
+ "print(time) "
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 15
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "[ 41023.25]\n"
+ ]
+ }
+ ],
+ "prompt_number": 8
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "dpth = depth[:] # examine depth array\n",
+ "print(dpth) "
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 16
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "[ 0. 100. 200. 400. 700. 1000. 2000. 3000. 4000. 5000.]\n"
+ ]
+ }
+ ],
+ "prompt_number": 9
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "xx,yy = x[:],y[:]\n",
+ "print('shape of temp variable: %s' % repr(temp.shape))\n",
+ "tempslice = temp[0, dpth > 400, yy > yy.max()/2, xx > xx.max()/2]\n",
+ "print('shape of temp slice: %s' % repr(tempslice.shape))"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 17,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "shape of temp variable: (1, 10, 850, 712)\n",
+ "shape of temp slice: (6, 425, 356)"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "\n"
+ ]
+ }
+ ],
+ "prompt_number": 10
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 17,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## What is the sea surface temperature and salinity at 50N, 140W?\n",
+ "### Finding the latitude and longitude indices of 50N, 140W\n",
+ "\n",
+ "- The `X` and `Y` dimensions don't look like longitudes and latitudes\n",
+ "- Use the auxilary coordinate variables named in the `coordinates` variable attribute, `Latitude` and `Longitude`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "lat, lon = f.variables['Latitude'], f.variables['Longitude']\n",
+ "print(lat)"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 19
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "<type 'netCDF4.Variable'>\n",
+ "float32 Latitude(Y, X)\n",
+ " standard_name: latitude\n",
+ " units: degrees_north\n",
+ "unlimited dimensions: \n",
+ "current shape = (850, 712)\n",
+ "filling on, default _FillValue of 9.96920996839e+36 used\n",
+ "\n"
+ ]
+ }
+ ],
+ "prompt_number": 11
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 20,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "source": [
+ "Aha! So we need to find array indices `iy` and `ix` such that `Latitude[iy, ix]` is close to 50.0 and `Longitude[iy, ix]` is close to -140.0 ..."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# extract lat/lon values (in degrees) to numpy arrays\n",
+ "latvals = lat[:]; lonvals = lon[:] \n",
+ "# a function to find the index of the point closest pt\n",
+ "# (in squared distance) to give lat/lon value.\n",
+ "def getclosest_ij(lats,lons,latpt,lonpt):\n",
+ " # find squared distance of every point on grid\n",
+ " dist_sq = (lats-latpt)**2 + (lons-lonpt)**2 \n",
+ " # 1D index of minimum dist_sq element\n",
+ " minindex_flattened = dist_sq.argmin() \n",
+ " # Get 2D index for latvals and lonvals arrays from 1D index\n",
+ " return np.unravel_index(minindex_flattened, lats.shape)\n",
+ "iy_min, ix_min = getclosest_ij(latvals, lonvals, 50., -140)"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 20,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "outputs": [],
+ "prompt_number": 12
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 22
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "source": [
+ "### Now we have all the information we need to find our answer.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 23
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "source": [
+ "```\n",
+ "|----------+--------|\n",
+ "| Variable | Index |\n",
+ "|----------+--------|\n",
+ "| MT | 0 |\n",
+ "| Depth | 0 |\n",
+ "| Y | iy_min |\n",
+ "| X | ix_min |\n",
+ "|----------+--------|\n",
+ "```"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 24
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "source": [
+ "### What is the sea surface temperature and salinity at the specified point?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "sal = f.variables['salinity']\n",
+ "# Read values out of the netCDF file for temperature and salinity\n",
+ "print('%7.4f %s' % (temp[0,0,iy_min,ix_min], temp.units))\n",
+ "print('%7.4f %s' % (sal[0,0,iy_min,ix_min], sal.units))"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 25,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ " 6.4631 degC\n",
+ "32.6572 psu\n"
+ ]
+ }
+ ],
+ "prompt_number": 13
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 25,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Remote data access via openDAP\n",
+ "\n",
+ "- Remote data can be accessed seamlessly with the netcdf4-python API\n",
+ "- Access happens via the DAP protocol and DAP servers, such as TDS.\n",
+ "- many formats supported, like GRIB, are supported \"under the hood\"."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 27
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "source": [
+ "The following example showcases some nice netCDF features:\n",
+ "\n",
+ "1. We are seamlessly accessing **remote** data, from a TDS server.\n",
+ "2. We are seamlessly accessing **GRIB2** data, as if it were netCDF data.\n",
+ "3. We are generating **metadata** on-the-fly."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import datetime\n",
+ "date = datetime.datetime.now()\n",
+ "# build URL for latest synoptic analysis time\n",
+ "URL = 'http://thredds.ucar.edu/thredds/dodsC/grib/NCEP/GFS/Global_0p5deg/GFS_Global_0p5deg_%04i%02i%02i_%02i%02i.grib2/GC' %\\\n",
+ "(date.year,date.month,date.day,6*(date.hour//6),0)\n",
+ "# keep moving back 6 hours until a valid URL found\n",
+ "validURL = False; ncount = 0\n",
+ "while (not validURL and ncount < 10):\n",
+ " print(URL)\n",
+ " try:\n",
+ " gfs = netCDF4.Dataset(URL)\n",
+ " validURL = True\n",
+ " except RuntimeError:\n",
+ " date -= datetime.timedelta(hours=6)\n",
+ " ncount += 1 "
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 28,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "http://thredds.ucar.edu/thredds/dodsC/grib/NCEP/GFS/Global_0p5deg/GFS_Global_0p5deg_20150310_1200.grib2/GC\n"
+ ]
+ }
+ ],
+ "prompt_number": 14
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# Look at metadata for a specific variable\n",
+ "# gfs.variables.keys() will show all available variables.\n",
+ "sfctmp = gfs.variables['Temperature_surface']\n",
+ "# get info about sfctmp\n",
+ "print(sfctmp)\n",
+ "# print coord vars associated with this variable\n",
+ "for dname in sfctmp.dimensions: \n",
+ " print(gfs.variables[dname])"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 28,
+ "slide_helper": "subslide_end",
+ "slide_type": "subslide"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "<type 'netCDF4.Variable'>\n",
+ "float32 Temperature_surface(time1, lat, lon)\n",
+ " long_name: Temperature @ Ground or water surface\n",
+ " units: K\n",
+ " missing_value: nan\n",
+ " abbreviation: TMP\n",
+ " coordinates: time1 \n",
+ " Grib_Variable_Id: VAR_0-0-0_L1\n",
+ " Grib2_Parameter: [0 0 0]\n",
+ " Grib2_Parameter_Discipline: Meteorological products\n",
+ " Grib2_Parameter_Category: Temperature\n",
+ " Grib2_Parameter_Name: Temperature\n",
+ " Grib2_Level_Type: Ground or water surface\n",
+ " Grib2_Generating_Process_Type: Forecast\n",
+ "unlimited dimensions: \n",
+ "current shape = (93, 361, 720)\n",
+ "filling off\n",
+ "\n",
+ "<type 'netCDF4.Variable'>\n",
+ "float64 time1(time1)\n",
+ " units: Hour since 2015-03-10T12:00:00Z\n",
+ " standard_name: time\n",
+ " long_name: GRIB forecast or observation time\n",
+ " calendar: proleptic_gregorian\n",
+ " _CoordinateAxisType: Time\n",
+ "unlimited dimensions: \n",
+ "current shape = (93,)\n",
+ "filling off\n",
+ "\n",
+ "<type 'netCDF4.Variable'>\n",
+ "float32 lat(lat)\n",
+ " units: degrees_north\n",
+ " _CoordinateAxisType: Lat\n",
+ "unlimited dimensions: \n",
+ "current shape = (361,)\n",
+ "filling off\n",
+ "\n",
+ "<type 'netCDF4.Variable'>\n",
+ "float32 lon(lon)\n",
+ " units: degrees_east\n",
+ " _CoordinateAxisType: Lon\n",
+ "unlimited dimensions: \n",
+ "current shape = (720,)\n",
+ "filling off\n",
+ "\n"
+ ]
+ }
+ ],
+ "prompt_number": 15
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 28,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "##Missing values\n",
+ "- when `data == var.missing_value` somewhere, a masked array is returned.\n",
+ "- illustrate with soil moisture data (only defined over land)\n",
+ "- white areas on plot are masked values over water."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "soilmvar = gfs.variables['Volumetric_Soil_Moisture_Content_depth_below_surface_layer']\n",
+ "# flip the data in latitude so North Hemisphere is up on the plot\n",
+ "soilm = soilmvar[0,0,::-1,:] \n",
+ "print('shape=%s, type=%s, missing_value=%s' % \\\n",
+ " (soilm.shape, type(soilm), soilmvar.missing_value))\n",
+ "import matplotlib.pyplot as plt\n",
+ "%matplotlib inline\n",
+ "cs = plt.contourf(soilm)"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 31
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "shape=(361, 720), type=<class 'numpy.ma.core.MaskedArray'>, missing_value=nan\n"
+ ]
+ },
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "png": "iVBORw0KGgoAAAANSUhEUgAAAXIAAAD7CAYAAAB37B+tAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJztnX+sZVd13z8L228SIGPzgNjGdjpWwSlueAFUm7Qk4iVN\njJFaTNsImFFbVNIoamJAFLczHhd7MIEyyKFRMyJqA0ROxJtCSKC4isF2wlMTVZgQsAfHuGCFkTIU\njx0PeEhRZ2y8+sc9+71999v7nH1+3XvOvesjPb17z899z9n7e9ZZe+21RVUxDMMwxssz5l0AwzAM\nox0m5IZhGCPHhNwwDGPkmJAbhmGMHBNywzCMkWNCbhiGMXLOncdJRcRiHg3DMBqgqhIuK7XIReQH\nROReEblPRB4QkUPF8kMickJEvlz8vcbb50YR+bqIPCQi15QUZnR/t9xyy9zLYGUfz99Yyz3mso+1\n3LllT1Fqk [...]
+ "text": [
+ "<matplotlib.figure.Figure at 0x10aee5a10>"
+ ]
+ }
+ ],
+ "prompt_number": 16
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 32,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "source": [
+ "##Packed integer data\n",
+ "There is a similar feature for variables with `scale_factor` and `add_offset` attributes.\n",
+ "\n",
+ "- short integer data will automatically be returned as float data, with the scale and offset applied. "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 32,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Dealing with dates and times\n",
+ "- time variables usually measure relative to a fixed date using a certain calendar, with units specified like ***`hours since YY:MM:DD hh-mm-ss`***.\n",
+ "- **`num2date`** and **`date2num`** convenience functions provided to convert between these numeric time coordinates and handy python datetime instances. \n",
+ "- **`date2index`** finds the time index corresponding to a datetime instance."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from netCDF4 import num2date, date2num, date2index\n",
+ "timedim = sfctmp.dimensions[0] # time dim name\n",
+ "print('name of time dimension = %s' % timedim)\n",
+ "times = gfs.variables[timedim] # time coord var\n",
+ "print('units = %s, values = %s' % (times.units, times[:]))"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 34
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "name of time dimension = time1\n",
+ "units = Hour since 2015-03-10T12:00:00Z, values = [ 0. 3. 6. 9. 12. 15. 18. 21. 24. 27. 30. 33.\n",
+ " 36. 39. 42. 45. 48. 51. 54. 57. 60. 63. 66. 69.\n",
+ " 72. 75. 78. 81. 84. 87. 90. 93. 96. 99. 102. 105.\n",
+ " 108. 111. 114. 117. 120. 123. 126. 129. 132. 135. 138. 141.\n",
+ " 144. 147. 150. 153. 156. 159. 162. 165. 168. 171. 174. 177.\n",
+ " 180. 183. 186. 189. 192. 195. 198. 201. 204. 207. 210. 213.\n",
+ " 216. 219. 222. 225. 228. 231. 234. 237. 240. 252. 264. 276.\n",
+ " 288. 300. 312. 324. 336. 348. 360. 372. 384.]\n"
+ ]
+ }
+ ],
+ "prompt_number": 17
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "dates = num2date(times[:], times.units)\n",
+ "print([date.strftime('%Y-%m-%d %H:%M:%S') for date in dates[:10]]) # print only first ten..."
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 35,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "['2015-03-10 12:00:00', '2015-03-10 15:00:00', '2015-03-10 18:00:00', '2015-03-10 21:00:00', '2015-03-11 00:00:00', '2015-03-11 03:00:00', '2015-03-11 06:00:00', '2015-03-11 09:00:00', '2015-03-11 12:00:00', '2015-03-11 15:00:00']\n"
+ ]
+ }
+ ],
+ "prompt_number": 18
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 35,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "###Get index associated with a specified date, extract forecast data for that date."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from datetime import datetime, timedelta\n",
+ "date = datetime.now() + timedelta(days=3)\n",
+ "print(date)\n",
+ "ntime = date2index(date,times,select='nearest')\n",
+ "print('index = %s, date = %s' % (ntime, dates[ntime]))"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 37
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "2015-03-13 14:47:13.043237\n",
+ "index = 25, date = 2015-03-13 15:00:00\n"
+ ]
+ }
+ ],
+ "prompt_number": 19
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 38
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "source": [
+ "###Get temp forecast for Boulder (near 40N, -105W)\n",
+ "- use function **`getcloses_ij`** we created before..."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "lats, lons = gfs.variables['lat'][:], gfs.variables['lon'][:]\n",
+ "# lats, lons are 1-d. Make them 2-d using numpy.meshgrid.\n",
+ "lons, lats = np.meshgrid(lons,lats)\n",
+ "j, i = getclosest_ij(lats,lons,40,-105)\n",
+ "fcst_temp = sfctmp[ntime,j,i]\n",
+ "print('Boulder forecast valid at %s UTC = %5.1f %s' % \\\n",
+ " (dates[ntime],fcst_temp,sfctmp.units))"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 39,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "Boulder forecast valid at 2015-03-13 15:00:00 UTC = 292.7 K\n"
+ ]
+ }
+ ],
+ "prompt_number": 20
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 39,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "##Simple multi-file aggregation\n",
+ "\n",
+ "What if you have a bunch of netcdf files, each with data for a different year, and you want to access all the data as if it were in one file?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "!ls -l data/prmsl*nc"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 41
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "-rw-r--r-- 1 jwhitaker climate 8985332 Mar 10 09:57 data/prmsl.2000.nc\r\n",
+ "-rw-r--r-- 1 jwhitaker climate 8968789 Mar 10 09:57 data/prmsl.2001.nc\r\n",
+ "-rw-r--r-- 1 jwhitaker climate 8972796 Mar 10 09:57 data/prmsl.2002.nc\r\n",
+ "-rw-r--r-- 1 jwhitaker climate 8974435 Mar 10 09:57 data/prmsl.2003.nc\r\n",
+ "-rw-r--r-- 1 jwhitaker climate 8997438 Mar 10 09:57 data/prmsl.2004.nc\r\n",
+ "-rw-r--r-- 1 jwhitaker climate 8976678 Mar 10 09:57 data/prmsl.2005.nc\r\n",
+ "-rw-r--r-- 1 jwhitaker climate 8969714 Mar 10 09:57 data/prmsl.2006.nc\r\n",
+ "-rw-r--r-- 1 jwhitaker climate 8974360 Mar 10 09:57 data/prmsl.2007.nc\r\n",
+ "-rw-r--r-- 1 jwhitaker climate 8994260 Mar 10 09:57 data/prmsl.2008.nc\r\n",
+ "-rw-r--r-- 1 jwhitaker climate 8974678 Mar 10 09:57 data/prmsl.2009.nc\r\n",
+ "-rw-r--r-- 1 jwhitaker climate 8970732 Mar 10 09:57 data/prmsl.2010.nc\r\n",
+ "-rw-r--r-- 1 jwhitaker climate 8976285 Mar 10 09:57 data/prmsl.2011.nc\r\n"
+ ]
+ }
+ ],
+ "prompt_number": 21
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 42
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "source": [
+ "**`MFDataset`** uses file globbing to patch together all the files into one big Dataset.\n",
+ "You can also pass it a list of specific files.\n",
+ "\n",
+ "Limitations:\n",
+ "\n",
+ "- It can only aggregate the data along the leftmost dimension of each variable.\n",
+ "- only works with `NETCDF3`, or `NETCDF4_CLASSIC` formatted files.\n",
+ "- kind of slow."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "mf = netCDF4.MFDataset('data/prmsl*nc')\n",
+ "times = mf.variables['time']\n",
+ "dates = num2date(times[:],times.units)\n",
+ "print('starting date = %s' % dates[0])\n",
+ "print('ending date = %s'% dates[-1])\n",
+ "prmsl = mf.variables['prmsl']\n",
+ "print('times shape = %s' % times.shape)\n",
+ "print('prmsl dimensions = %s, prmsl shape = %s' %\\\n",
+ " (prmsl.dimensions, prmsl.shape))"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 43,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "starting date = 2000-01-01 00:00:00\n",
+ "ending date = 2011-12-31 00:00:00\n",
+ "times shape = 4383\n",
+ "prmsl dimensions = (u'time', u'lat', u'lon'), prmsl shape = (4383, 91, 180)\n"
+ ]
+ }
+ ],
+ "prompt_number": 22
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 43,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Closing your netCDF file\n",
+ "\n",
+ "It's good to close netCDF files, but not actually necessary when Dataset is open for read access only.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "f.close()\n",
+ "gfs.close()"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 45
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [],
+ "prompt_number": 23
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 45,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "-"
+ }
+ },
+ "source": [
+ "##That's it!\n",
+ "\n",
+ "Now you're ready to start exploring your data interactively.\n",
+ "\n",
+ "To be continued with **Writing netCDF data** ...."
+ ]
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/examples/threaded_read.py b/examples/threaded_read.py
new file mode 100644
index 0000000..8059400
--- /dev/null
+++ b/examples/threaded_read.py
@@ -0,0 +1,62 @@
+from netCDF4 import Dataset
+from numpy.testing import assert_array_equal, assert_array_almost_equal
+import numpy as np
+import threading
+import Queue
+import time
+
+# demonstrate reading of different files from different threads.
+# Releasing the Global Interpreter Lock (GIL) when calling the
+# netcdf C library for read operations speeds up the reads
+# when threads are used (issue 369).
+# Test script contributed by Ryan May of Unidata.
+
+# Make some files
+nfiles = 4
+fnames = []; datal = []
+for i in range(nfiles):
+ fname = 'test%d.nc' % i
+ fnames.append(fname)
+ nc = Dataset(fname, 'w')
+ data = np.random.randn(500, 500, 500)
+ datal.append(data)
+ nc.createDimension('x', 500)
+ nc.createDimension('y', 500)
+ nc.createDimension('z', 500)
+ var = nc.createVariable('grid', 'f', ('x', 'y', 'z'))
+ var[:] = data
+ nc.close()
+
+# Queue them up
+items = Queue.Queue()
+for data,fname in zip(datal,fnames):
+ items.put(fname)
+
+# Function for threads to use
+def get_data(serial=None):
+ if serial is None: # if not called from a thread
+ fname = items.get()
+ else:
+ fname = fnames[serial]
+ nc = Dataset(fname, 'r')
+ data2 = nc.variables['grid'][:]
+ # make sure the data is correct
+ #assert_array_almost_equal(data2,datal[int(fname[4])])
+ nc.close()
+ if serial is None:
+ items.task_done()
+
+# Time it (no threading).
+start = time.time()
+for i in range(nfiles):
+ get_data(serial=i)
+end = time.time()
+print 'no threads, time = ',end - start
+
+# with threading.
+start = time.time()
+for i in range(nfiles):
+ threading.Thread(target=get_data).start()
+items.join()
+end = time.time()
+print 'with threading, time = ',end - start
diff --git a/examples/writing_netCDF.ipynb b/examples/writing_netCDF.ipynb
new file mode 100644
index 0000000..dd4f729
--- /dev/null
+++ b/examples/writing_netCDF.ipynb
@@ -0,0 +1,1212 @@
+{
+ "metadata": {
+ "name": "",
+ "signature": "sha256:2d5756ffde5fe7c0ab2e065fbc148e5808a947da2a26573885526ea00f45b576"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "# Writing netCDF data\n",
+ "\n",
+ "**Important Note**: when running this notebook interactively in a browser, you probably will not be able to execute individual cells out of order without getting an error. Instead, choose \"Run All\" from the Cell menu after you modify a cell."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from __future__ import print_function # make sure print behaves the same in 2.7 and 3.x\n",
+ "import netCDF4 # Note: python is case-sensitive!\n",
+ "import numpy as np"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_number": 1,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [],
+ "prompt_number": 1
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 1,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Opening a file, creating a new Dataset\n",
+ "\n",
+ "Let's create a new, empty netCDF file named 'data/new.nc', opened for writing.\n",
+ "\n",
+ "Be careful, opening a file with 'w' will clobber any existing data (unless `clobber=False` is used, in which case an exception is raised if the file already exists).\n",
+ "\n",
+ "- `mode='r'` is the default.\n",
+ "- `mode='a'` opens an existing file and allows for appending (does not clobber existing data)\n",
+ "- `format` can be one of `NETCDF3_CLASSIC`, `NETCDF3_64BIT`, `NETCDF4_CLASSIC` or `NETCDF4` (default). `NETCDF4_CLASSIC` uses HDF5 for the underlying storage layer (as does `NETCDF4`) but enforces the classic netCDF 3 data model so data can be read with older clients. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "try: ncfile.close() # just to be safe, make sure dataset is not already open.\n",
+ "except: pass\n",
+ "ncfile = netCDF4.Dataset('data/new.nc',mode='w',format='NETCDF4_CLASSIC') \n",
+ "print(ncfile)"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 3,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "<type 'netCDF4.Dataset'>\n",
+ "root group (NETCDF4_CLASSIC data model, file format HDF5):\n",
+ " dimensions(sizes): \n",
+ " variables(dimensions): \n",
+ " groups: \n",
+ "\n"
+ ]
+ }
+ ],
+ "prompt_number": 2
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 3,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Creating dimensions\n",
+ "\n",
+ "The **ncfile** object we created is a container for _dimensions_, _variables_, and _attributes_. First, let's create some dimensions using the [`createDimension`](http://unidata.github.io/netcdf4-python/netCDF4.Dataset-class.html#createDimension) method. \n",
+ "\n",
+ "- Every dimension has a name and a length. \n",
+ "- The name is a string that is used to specify the dimension to be used when creating a variable, and as a key to access the dimension object in the `ncfile.dimensions` dictionary.\n",
+ "\n",
+ "Setting the dimension length to `0` or `None` makes it unlimited, so it can grow. \n",
+ "\n",
+ "- For `NETCDF4` files, any variable's dimension can be unlimited. \n",
+ "- For `NETCDF4_CLASSIC` and `NETCDF3*` files, only one per variable can be unlimited, and it must be the leftmost (fastest varying) dimension."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "lat_dim = ncfile.createDimension('lat', 73) # latitude axis\n",
+ "lon_dim = ncfile.createDimension('lon', 144) # longitude axis\n",
+ "time_dim = ncfile.createDimension('time', None) # unlimited axis (can be appended to).\n",
+ "for dim in ncfile.dimensions.items():\n",
+ " print(dim)"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 5,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "('lat', <type 'netCDF4.Dimension'>: name = 'lat', size = 73\n",
+ ")\n",
+ "('lon', <type 'netCDF4.Dimension'>: name = 'lon', size = 144\n",
+ ")\n",
+ "('time', <type 'netCDF4.Dimension'> (unlimited): name = 'time', size = 0\n",
+ ")\n"
+ ]
+ }
+ ],
+ "prompt_number": 3
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 5,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Creating attributes\n",
+ "\n",
+ "netCDF attributes can be created just like you would for any python object. \n",
+ "\n",
+ "- Best to adhere to established conventions (like the [CF](http://cfconventions.org/) conventions)\n",
+ "- We won't try to adhere to any specific convention here though."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "ncfile.title='My model data'\n",
+ "print(ncfile.title)"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 7
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "My model data\n"
+ ]
+ }
+ ],
+ "prompt_number": 4
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 8,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "source": [
+ "Try adding some more attributes..."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 8,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Creating variables\n",
+ "\n",
+ "Now let's add some variables and store some data in them. \n",
+ "\n",
+ "- A variable has a name, a type, a shape, and some data values. \n",
+ "- The shape of a variable is specified by a tuple of dimension names. \n",
+ "- A variable should also have some named attributes, such as 'units', that describe the data.\n",
+ "\n",
+ "The [`createVariable`](http://unidata.github.io/netcdf4-python/netCDF4.Dataset-class.html#createVariable) method takes 3 mandatory args.\n",
+ "\n",
+ "- the 1st argument is the variable name (a string). This is used as the key to access the variable object from the `variables` dictionary.\n",
+ "- the 2nd argument is the datatype (most numpy datatypes supported). \n",
+ "- the third argument is a tuple containing the dimension names (the dimensions must be created first). Unless this is a `NETCDF4` file, any unlimited dimension must be the leftmost one.\n",
+ "- there are lots of optional arguments (many of which are only relevant when `format='NETCDF'`) to control compression, chunking, fill_value, etc.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# Define two variables with the same names as dimensions,\n",
+ "# a conventional way to define \"coordinate variables\".\n",
+ "lat = ncfile.createVariable('lat', np.float32, ('lat',))\n",
+ "lat.units = 'degrees_north'\n",
+ "lat.long_name = 'latitude'\n",
+ "lon = ncfile.createVariable('lon', np.float32, ('lon',))\n",
+ "lon.units = 'degrees_east'\n",
+ "lon.long_name = 'longitude'\n",
+ "time = ncfile.createVariable('time', np.float64, ('time',))\n",
+ "time.units = 'hours since 1800-01-01'\n",
+ "time.long_name = 'time'\n",
+ "# Define a 3D variable to hold the data\n",
+ "temp = ncfile.createVariable('temp',np.float64,('time','lat','lon')) # note: unlimited dimension is leftmost\n",
+ "temp.units = 'K' # degrees Kelvin\n",
+ "temp.standard_name = 'air_temperature' # this is a CF standard name\n",
+ "print(temp)"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 10,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "<type 'netCDF4.Variable'>\n",
+ "float64 temp(time, lat, lon)\n",
+ " units: K\n",
+ " standard_name: air_temperature\n",
+ "unlimited dimensions: time\n",
+ "current shape = (0, 73, 144)\n",
+ "filling on, default _FillValue of 9.96920996839e+36 used\n",
+ "\n"
+ ]
+ }
+ ],
+ "prompt_number": 5
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 10,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Pre-defined variable attributes (read only)\n",
+ "\n",
+ "The netCDF4 module provides some useful pre-defined Python attributes for netCDF variables, such as dimensions, shape, dtype, ndim. \n",
+ "\n",
+ "Note: since no data has been written yet, the length of the 'time' dimension is 0."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "print(\"-- Some pre-defined attributes for variable temp:\")\n",
+ "print(\"temp.dimensions:\", temp.dimensions)\n",
+ "print(\"temp.shape:\", temp.shape)\n",
+ "print(\"temp.dtype:\", temp.dtype)\n",
+ "print(\"temp.ndim:\", temp.ndim)"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 12,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "-- Some pre-defined attributes for variable temp:\n",
+ "temp.dimensions: (u'time', u'lat', u'lon')\n",
+ "temp.shape: (0, 73, 144)\n",
+ "temp.dtype: float64\n",
+ "temp.ndim: 3\n"
+ ]
+ }
+ ],
+ "prompt_number": 6
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 12,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Writing data\n",
+ "\n",
+ "To write data a netCDF variable object, just treat it like a numpy array and assign values to a slice."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "nlats = len(lat_dim); nlons = len(lon_dim); ntimes = 3\n",
+ "# Write latitudes, longitudes.\n",
+ "# Note: the \":\" is necessary in these \"write\" statements\n",
+ "lat[:] = -90. + (180./nlats)*np.arange(nlats) # south pole to north pole\n",
+ "lon[:] = (180./nlats)*np.arange(nlons) # Greenwich meridian eastward\n",
+ "# create a 3D array of random numbers\n",
+ "data_arr = np.random.uniform(low=280,high=330,size=(ntimes,nlats,nlons))\n",
+ "# Write the data. This writes the whole 3D netCDF variable all at once.\n",
+ "temp[:,:,:] = data_arr # Appends data along unlimited dimension\n",
+ "print(\"-- Wrote data, temp.shape is now \", temp.shape)\n",
+ "# read data back from variable (by slicing it), print min and max\n",
+ "print(\"-- Min/Max values:\", temp[:,:,:].min(), temp[:,:,:].max())"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 14
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "-- Wrote data, temp.shape is now (3, 73, 144)\n",
+ "-- Min/Max values: 280.00201974 329.999706175\n"
+ ]
+ }
+ ],
+ "prompt_number": 7
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 15,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "source": [
+ "- You can just treat a netCDF Variable object like a numpy array and assign values to it.\n",
+ "- Variables automatically grow along unlimited dimensions (unlike numpy arrays)\n",
+ "- The above writes the whole 3D variable all at once, but you can write it a slice at a time instead.\n",
+ "\n",
+ "Let's add another time slice....\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# create a 2D array of random numbers\n",
+ "data_slice = np.random.uniform(low=280,high=330,size=(nlats,nlons))\n",
+ "temp[3,:,:] = data_slice # Appends the 4th time slice\n",
+ "print(\"-- Wrote more data, temp.shape is now \", temp.shape)"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 15,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "-- Wrote more data, temp.shape is now (4, 73, 144)\n"
+ ]
+ }
+ ],
+ "prompt_number": 8
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 17
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "source": [
+ "Note that we have not yet written any data to the time variable. It automatically grew as we appended data along the time dimension to the variable `temp`, but the data is missing."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "print(time)\n",
+ "times_arr = time[:]\n",
+ "print(type(times_arr),times_arr) # dashes indicate masked values (where data has not yet been written)"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 18,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "<type 'netCDF4.Variable'>\n",
+ "float64 time(time)\n",
+ " units: hours since 1800-01-01\n",
+ " long_name: time\n",
+ "unlimited dimensions: time\n",
+ "current shape = (4,)\n",
+ "filling on, default _FillValue of 9.96920996839e+36 used\n",
+ "\n",
+ "<class 'numpy.ma.core.MaskedArray'> [-- -- -- --]\n"
+ ]
+ }
+ ],
+ "prompt_number": 9
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 18,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Let's add write some data into the time variable. \n",
+ "\n",
+ "- Given a set of datetime instances, use date2num to convert to numeric time values and then write that data to the variable."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "from datetime import datetime\n",
+ "from netCDF4 import date2num,num2date\n",
+ "# 1st 4 days of October.\n",
+ "dates = [datetime(2014,10,1,0),datetime(2014,10,2,0),datetime(2014,10,3,0),datetime(2014,10,4,0)]\n",
+ "print(dates)\n",
+ "times = date2num(dates, time.units)\n",
+ "print(times, time.units) # numeric values\n",
+ "time[:] = times\n",
+ "# read time data back, convert to datetime instances, check values.\n",
+ "print(num2date(time[:],time.units))"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 20,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "[datetime.datetime(2014, 10, 1, 0, 0), datetime.datetime(2014, 10, 2, 0, 0), datetime.datetime(2014, 10, 3, 0, 0), datetime.datetime(2014, 10, 4, 0, 0)]\n",
+ "[ 1882440. 1882464. 1882488. 1882512.] hours since 1800-01-01\n",
+ "[datetime.datetime(2014, 10, 1, 0, 0) datetime.datetime(2014, 10, 2, 0, 0)\n",
+ " datetime.datetime(2014, 10, 3, 0, 0) datetime.datetime(2014, 10, 4, 0, 0)]\n"
+ ]
+ }
+ ],
+ "prompt_number": 10
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 20,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Closing a netCDF file\n",
+ "\n",
+ "It's **important** to close a netCDF file you opened for writing:\n",
+ "\n",
+ "- flushes buffers to make sure all data gets written\n",
+ "- releases memory resources used by open netCDF files"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": true,
+ "input": [
+ "# first print the Dataset object to see what we've got\n",
+ "print(ncfile)\n",
+ "# close the Dataset.\n",
+ "ncfile.close(); print('Dataset is closed!')"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 22,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "<type 'netCDF4.Dataset'>\n",
+ "root group (NETCDF4_CLASSIC data model, file format HDF5):\n",
+ " title: My model data\n",
+ " dimensions(sizes): lat(73), lon(144), time(4)\n",
+ " variables(dimensions): float32 \u001b[4mlat\u001b[0m(lat), float32 \u001b[4mlon\u001b[0m(lon), float64 \u001b[4mtime\u001b[0m(time), float64 \u001b[4mtemp\u001b[0m(time,lat,lon)\n",
+ " groups: \n",
+ "\n",
+ "Dataset is closed!\n"
+ ]
+ }
+ ],
+ "prompt_number": 11
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 22,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "# Advanced features\n",
+ "\n",
+ "So far we've only exercised features associated with the old netCDF version 3 data model. netCDF version 4 adds a lot of new functionality that comes with the more flexible HDF5 storage layer. \n",
+ "\n",
+ "Let's create a new file with `format='NETCDF4'` so we can try out some of these features."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "ncfile = netCDF4.Dataset('data/new2.nc','w',format='NETCDF4')\n",
+ "print(ncfile)"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 25,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "<type 'netCDF4.Dataset'>\n",
+ "root group (NETCDF4 data model, file format HDF5):\n",
+ " dimensions(sizes): \n",
+ " variables(dimensions): \n",
+ " groups: \n",
+ "\n"
+ ]
+ }
+ ],
+ "prompt_number": 12
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 25,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Creating Groups\n",
+ "\n",
+ "netCDF version 4 added support for organizing data in hierarchical groups.\n",
+ "\n",
+ "- analagous to directories in a filesystem. \n",
+ "- Groups serve as containers for variables, dimensions and attributes, as well as other groups. \n",
+ "- A `netCDF4.Dataset` creates a special group, called the 'root group', which is similar to the root directory in a unix filesystem. \n",
+ "\n",
+ "- groups are created using the [`createGroup`](http://unidata.github.io/netcdf4-python/netCDF4.Dataset-class.html#createGroup) method.\n",
+ "- takes a single argument (a string, which is the name of the Group instance). This string is used as a key to access the group instances in the `groups` dictionary.\n",
+ "\n",
+ "Here we create two groups to hold data for two different model runs."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "grp1 = ncfile.createGroup('model_run1')\n",
+ "grp2 = ncfile.createGroup('model_run2')\n",
+ "for grp in ncfile.groups.items():\n",
+ " print(grp)"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 27,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "('model_run1', <type 'netCDF4.Group'>\n",
+ "group /model_run1:\n",
+ " dimensions(sizes): \n",
+ " variables(dimensions): \n",
+ " groups: \n",
+ ")\n",
+ "('model_run2', <type 'netCDF4.Group'>\n",
+ "group /model_run2:\n",
+ " dimensions(sizes): \n",
+ " variables(dimensions): \n",
+ " groups: \n",
+ ")\n"
+ ]
+ }
+ ],
+ "prompt_number": 13
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 27,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Create some dimensions in the root group."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "lat_dim = ncfile.createDimension('lat', 73) # latitude axis\n",
+ "lon_dim = ncfile.createDimension('lon', 144) # longitude axis\n",
+ "time_dim = ncfile.createDimension('time', None) # unlimited axis (can be appended to)."
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 29
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [],
+ "prompt_number": 14
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 30
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "source": [
+ "Now create a variable in grp1 and grp2. The library will search recursively upwards in the group tree to find the dimensions (which in this case are defined one level up).\n",
+ "\n",
+ "- These variables are create with **zlib compression**, another nifty feature of netCDF 4. \n",
+ "- The data are automatically compressed when data is written to the file, and uncompressed when the data is read. \n",
+ "- This can really save disk space, especially when used in conjunction with the [**least_significant_digit**](http://unidata.github.io/netcdf4-python/netCDF4.Dataset-class.html#createVariable) keyword argument, which causes the data to be quantized (truncated) before compression. This makes the compression lossy, but more efficient."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "temp1 = grp1.createVariable('temp',np.float64,('time','lat','lon'),zlib=True)\n",
+ "temp2 = grp2.createVariable('temp',np.float64,('time','lat','lon'),zlib=True)\n",
+ "for grp in ncfile.groups.items(): # shows that each group now contains 1 variable\n",
+ " print(grp)"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 31,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "('model_run1', <type 'netCDF4.Group'>\n",
+ "group /model_run1:\n",
+ " dimensions(sizes): \n",
+ " variables(dimensions): float64 \u001b[4mtemp\u001b[0m(time,lat,lon)\n",
+ " groups: \n",
+ ")\n",
+ "('model_run2', <type 'netCDF4.Group'>\n",
+ "group /model_run2:\n",
+ " dimensions(sizes): \n",
+ " variables(dimensions): float64 \u001b[4mtemp\u001b[0m(time,lat,lon)\n",
+ " groups: \n",
+ ")\n"
+ ]
+ }
+ ],
+ "prompt_number": 15
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 31,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "##Creating a variable with a compound data type\n",
+ "\n",
+ "- Compound data types map directly to numpy structured (a.k.a 'record' arrays). \n",
+ "- Structured arrays are akin to C structs, or derived types in Fortran. \n",
+ "- They allow for the construction of table-like structures composed of combinations of other data types, including other compound types. \n",
+ "- Might be useful for representing multiple parameter values at each point on a grid, or at each time and space location for scattered (point) data. \n",
+ "\n",
+ "Here we create a variable with a compound data type to represent complex data (there is no native complex data type in netCDF). \n",
+ "\n",
+ "- The compound data type is created with the [`createCompoundType`](http://unidata.github.io/netcdf4-python/netCDF4.Dataset-class.html#createCompoundType) method."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# create complex128 numpy structured data type\n",
+ "complex128 = np.dtype([('real',np.float64),('imag',np.float64)])\n",
+ "# using this numpy dtype, create a netCDF compound data type object\n",
+ "# the string name can be used as a key to access the datatype from the cmptypes dictionary.\n",
+ "complex128_t = ncfile.createCompoundType(complex128,'complex128')\n",
+ "# create a variable with this data type, write some data to it.\n",
+ "cmplxvar = grp1.createVariable('cmplx_var',complex128_t,('time','lat','lon'))\n",
+ "# write some data to this variable\n",
+ "# first create some complex random data\n",
+ "nlats = len(lat_dim); nlons = len(lon_dim)\n",
+ "data_arr_cmplx = np.random.uniform(size=(nlats,nlons))+1.j*np.random.uniform(size=(nlats,nlons))\n",
+ "# write this complex data to a numpy complex128 structured array\n",
+ "data_arr = np.empty((nlats,nlons),complex128)\n",
+ "data_arr['real'] = data_arr_cmplx.real; data_arr['imag'] = data_arr_cmplx.imag\n",
+ "cmplxvar[0] = data_arr # write the data to the variable (appending to time dimension)\n",
+ "print(cmplxvar)\n",
+ "data_out = cmplxvar[0] # read one value of data back from variable\n",
+ "print(data_out.dtype, data_out.shape, data_out[0,0])"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 33,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "<type 'netCDF4.Variable'>\n",
+ "compound cmplx_var(time, lat, lon)\n",
+ "compound data type: [('real', '<f8'), ('imag', '<f8')]\n",
+ "path = /model_run1\n",
+ "unlimited dimensions: time\n",
+ "current shape = (1, 73, 144)\n",
+ "\n",
+ "[('real', '<f8'), ('imag', '<f8')] (73, 144) (0.3734430270175605, 0.01936452636106112)\n"
+ ]
+ }
+ ],
+ "prompt_number": 16
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 33,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "##Creating a variable with a variable-length (vlen) data type\n",
+ "\n",
+ "netCDF 4 has support for variable-length or \"ragged\" arrays. These are arrays of variable length sequences having the same type. \n",
+ "\n",
+ "- To create a variable-length data type, use the [`createVLType`](http://unidata.github.io/netcdf4-python/netCDF4.Dataset-class.html#createVLType) method.\n",
+ "- The numpy datatype of the variable-length sequences and the name of the new datatype must be specified. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "vlen_t = ncfile.createVLType(np.int64, 'phony_vlen')"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 35
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [],
+ "prompt_number": 17
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 36
+ },
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "source": [
+ "A new variable can then be created using this datatype."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "vlvar = grp2.createVariable('phony_vlen_var', vlen_t, ('time','lat','lon'))"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 37,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [],
+ "prompt_number": 18
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 37,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Since there is no native vlen datatype in numpy, vlen arrays are represented in python as object arrays (arrays of dtype `object`). \n",
+ "\n",
+ "- These are arrays whose elements are Python object pointers, and can contain any type of python object. \n",
+ "- For this application, they must contain 1-D numpy arrays all of the same type but of varying length. \n",
+ "- Fill with 1-D random numpy int64 arrays of random length between 1 and 10."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "vlen_data = np.empty((nlats,nlons),object)\n",
+ "for i in range(nlons):\n",
+ " for j in range(nlats):\n",
+ " size = np.random.randint(1,10,size=1) # random length of sequence\n",
+ " vlen_data[j,i] = np.random.randint(0,10,size=size)# generate random sequence\n",
+ "vlvar[0] = vlen_data # append along unlimited dimension (time)\n",
+ "print(vlvar)\n",
+ "print('data =\\n',vlvar[:])"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 39,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "<type 'netCDF4.Variable'>\n",
+ "vlen phony_vlen_var(time, lat, lon)\n",
+ "vlen data type: int64\n",
+ "path = /model_run2\n",
+ "unlimited dimensions: time\n",
+ "current shape = (1, 73, 144)\n",
+ "\n",
+ "data =\n",
+ " [[[array([6, 4, 3, 7, 8, 2, 9, 5]) array([9, 9, 2, 2, 9, 9, 6, 4])\n",
+ " array([8, 3, 6]) ..., array([3, 0, 7, 2, 5]) array([7, 7, 9, 7, 3])\n",
+ " array([5, 1])]\n",
+ " [array([2, 5, 0, 6, 9]) array([3, 6, 4, 0, 5, 0, 7, 5])\n",
+ " array([5, 5, 7, 6, 3, 1]) ..., array([2]) array([2, 6]) array([9, 4])]\n",
+ " [array([3, 7, 0, 4, 7, 3, 1, 8, 1]) array([3, 4, 8])\n",
+ " array([8, 8, 3, 9, 8, 7, 5, 3, 6]) ..., array([3, 1, 5, 3, 6, 6, 4])\n",
+ " array([7, 3, 9, 1, 8, 6, 3]) array([1, 0, 0, 2])]\n",
+ " ..., \n",
+ " [array([7, 0, 3, 9]) array([1, 8, 4, 7, 5, 5, 2])\n",
+ " array([8, 1, 1, 6, 5, 4, 7]) ..., array([4]) array([7, 5]) array([1, 6])]\n",
+ " [array([8, 8, 5, 4, 3, 3, 5, 5, 9]) array([0, 6, 8, 5, 5, 9, 8, 6])\n",
+ " array([6, 1, 0, 0, 5, 5]) ..., array([8, 4, 4, 5])\n",
+ " array([1, 6, 3, 2, 3, 3, 2, 3]) array([6, 0, 9, 3, 2, 8, 6, 9])]\n",
+ " [array([8, 7, 4]) array([4, 3, 3, 6, 3, 4]) array([1, 7, 6, 8, 3, 1])\n",
+ " ..., array([6, 2, 5, 6, 3, 9]) array([2, 4, 3]) array([3, 4])]]]\n"
+ ]
+ }
+ ],
+ "prompt_number": 19
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 39,
+ "slide_type": "subslide"
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "Close the Dataset and examine the contents with ncdump."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "ncfile.close()\n",
+ "!ncdump -h data/new2.nc"
+ ],
+ "language": "python",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 41,
+ "slide_helper": "subslide_end"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "fragment"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "netcdf new2 {\r\n",
+ "types:\r\n",
+ " compound complex128 {\r\n",
+ " double real ;\r\n",
+ " double imag ;\r\n",
+ " }; // complex128\r\n",
+ " int64(*) phony_vlen ;\r\n",
+ "dimensions:\r\n",
+ "\tlat = 73 ;\r\n",
+ "\tlon = 144 ;\r\n",
+ "\ttime = UNLIMITED ; // (1 currently)\r\n",
+ "\r\n",
+ "group: model_run1 {\r\n",
+ " variables:\r\n",
+ " \tdouble temp(time, lat, lon) ;\r\n",
+ " \tcomplex128 cmplx_var(time, lat, lon) ;\r\n",
+ " } // group model_run1\r\n",
+ "\r\n",
+ "group: model_run2 {\r\n",
+ " variables:\r\n",
+ " \tdouble temp(time, lat, lon) ;\r\n",
+ " \tphony_vlen phony_vlen_var(time, lat, lon) ;\r\n",
+ " } // group model_run2\r\n",
+ "}\r\n"
+ ]
+ }
+ ],
+ "prompt_number": 20
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "internals": {
+ "frag_helper": "fragment_end",
+ "frag_number": 41,
+ "slide_helper": "subslide_end",
+ "slide_type": "subslide"
+ },
+ "slide_helper": "slide_end",
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "##Other interesting and useful projects using netcdf4-python\n",
+ "\n",
+ "- [Xray](http://xray.readthedocs.org/en/stable/): N-dimensional variant of the core [pandas](http://pandas.pydata.org) data structure that can operate on netcdf variables.\n",
+ "- [Iris](http://scitools.org.uk/iris/): a data model to create a data abstraction layer which isolates analysis and visualisation code from data format specifics. Uses netcdf4-python to access netcdf data (can also handle GRIB).\n",
+ "- [Biggus](https://github.com/SciTools/biggus): Virtual large arrays (from netcdf variables) with lazy evaluation.\n",
+ "- [cf-python](http://cfpython.bitbucket.org/): Implements the [CF](http://cfconventions.org) data model for the reading, writing and processing of data and metadata. "
+ ]
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
diff --git a/netCDF4.c b/netCDF4.c
index 182ed53..1e2eb8d 100644
--- a/netCDF4.c
+++ b/netCDF4.c
@@ -442,11 +442,37 @@ struct __pyx_obj_7netCDF4_Dimension;
struct __pyx_obj_7netCDF4_Variable;
struct __pyx_obj_7netCDF4_CompoundType;
struct __pyx_obj_7netCDF4_VLType;
+struct __pyx_opt_args_7netCDF4__read_compound;
+struct __pyx_opt_args_7netCDF4__read_vlen;
struct __pyx_opt_args_7netCDF4__strencode;
struct __pyx_defaults;
typedef struct __pyx_defaults __pyx_defaults;
-/* "netCDF4.pyx":4131
+/* "netCDF4.pyx":4002
+ * return xtype
+ *
+ * cdef _read_compound(group, nc_type xtype, endian=None): # <<<<<<<<<<<<<<
+ * # read a compound data type id from an existing file,
+ * # construct a corresponding numpy dtype instance,
+ */
+struct __pyx_opt_args_7netCDF4__read_compound {
+ int __pyx_n;
+ PyObject *endian;
+};
+
+/* "netCDF4.pyx":4160
+ * return xtype, dt
+ *
+ * cdef _read_vlen(group, nc_type xtype, endian=None): # <<<<<<<<<<<<<<
+ * # read a VLEN data type id from an existing file,
+ * # construct a corresponding numpy dtype instance,
+ */
+struct __pyx_opt_args_7netCDF4__read_vlen {
+ int __pyx_n;
+ PyObject *endian;
+};
+
+/* "netCDF4.pyx":4187
* return VLType(group, dt, name, typeid=xtype)
*
* cdef _strencode(pystr,encoding=None): # <<<<<<<<<<<<<<
@@ -461,7 +487,7 @@ struct __pyx_defaults {
PyObject *__pyx_arg_exclude;
};
-/* "netCDF4.pyx":1284
+/* "netCDF4.pyx":1303
*
*
* cdef class Dataset: # <<<<<<<<<<<<<<
@@ -487,7 +513,7 @@ struct __pyx_obj_7netCDF4_Dataset {
};
-/* "netCDF4.pyx":2070
+/* "netCDF4.pyx":2090
*
*
* cdef class Group(Dataset): # <<<<<<<<<<<<<<
@@ -499,7 +525,7 @@ struct __pyx_obj_7netCDF4_Group {
};
-/* "netCDF4.pyx":2157
+/* "netCDF4.pyx":2178
*
*
* cdef class Dimension: # <<<<<<<<<<<<<<
@@ -516,7 +542,7 @@ struct __pyx_obj_7netCDF4_Dimension {
};
-/* "netCDF4.pyx":2296
+/* "netCDF4.pyx":2322
* return False
*
* cdef class Variable: # <<<<<<<<<<<<<<
@@ -542,7 +568,7 @@ struct __pyx_obj_7netCDF4_Variable {
};
-/* "netCDF4.pyx":3797
+/* "netCDF4.pyx":3843
* # Compound datatype support.
*
* cdef class CompoundType: # <<<<<<<<<<<<<<
@@ -557,7 +583,7 @@ struct __pyx_obj_7netCDF4_CompoundType {
};
-/* "netCDF4.pyx":4021
+/* "netCDF4.pyx":4073
* # VLEN datatype support.
*
* cdef class VLType: # <<<<<<<<<<<<<<
@@ -652,24 +678,12 @@ static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject
static PyObject *__Pyx_GetBuiltinName(PyObject *name);
-static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);
-
-static CYTHON_INLINE void __Pyx_ExceptionSave(PyObject **type, PyObject **value, PyObject **tb);
-static void __Pyx_ExceptionReset(PyObject *type, PyObject *value, PyObject *tb);
-
-static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);
-
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw);
#else
#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw)
#endif
-static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb);
-static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb);
-
-static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);
-
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
#endif
@@ -715,11 +729,26 @@ static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int
#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals
#endif
+static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb);
+static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb);
+
+static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);
+
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(
PyObject* obj, Py_ssize_t cstart, Py_ssize_t cstop,
PyObject** py_start, PyObject** py_stop, PyObject** py_slice,
int has_cstart, int has_cstop, int wraparound);
+static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name);
+
+static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
+
+static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
+
+static CYTHON_INLINE int __Pyx_IterFinish(void);
+
+static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected);
+
static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found);
@@ -729,8 +758,6 @@ static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[], \
PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args, \
const char* function_name);
-static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name);
-
#define __Pyx_PyObject_DelSlice(obj, cstart, cstop, py_start, py_stop, py_slice, has_cstart, has_cstop, wraparound) \
__Pyx_PyObject_SetSlice(obj, (PyObject*)NULL, cstart, cstop, py_start, py_stop, py_slice, has_cstart, has_cstop, wraparound)
static CYTHON_INLINE int __Pyx_PyObject_SetSlice(
@@ -771,6 +798,11 @@ static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) {
#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x)
#endif
+static CYTHON_INLINE void __Pyx_ExceptionSave(PyObject **type, PyObject **value, PyObject **tb);
+static void __Pyx_ExceptionReset(PyObject *type, PyObject *value, PyObject *tb);
+
+static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);
+
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
@@ -798,14 +830,6 @@ static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
const char* encoding, const char* errors,
PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors));
-static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
-
-static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
-
-static CYTHON_INLINE int __Pyx_IterFinish(void);
-
-static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected);
-
static CYTHON_INLINE int __Pyx_PySequence_Contains(PyObject* item, PyObject* seq, int eq) {
int result = PySequence_Contains(seq, item);
return unlikely(result < 0) ? result : (result == (eq == Py_EQ));
@@ -897,6 +921,8 @@ static double __Pyx__PyObject_AsDouble(PyObject* obj);
static CYTHON_INLINE int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed,
const char *name, int exact);
+static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);
+
static PyObject *__Pyx_CalculateMetaclass(PyTypeObject *metaclass, PyObject *bases);
static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type);
@@ -988,6 +1014,10 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_PY_LONG_LONG(PY_LONG_LONG value)
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_PY_LONG_LONG(unsigned PY_LONG_LONG value);
+#ifndef __PYX_FORCE_INIT_THREADS
+ #define __PYX_FORCE_INIT_THREADS 0
+#endif
+
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_nc_type(nc_type value);
@@ -1040,9 +1070,9 @@ static PyObject *__pyx_f_7netCDF4__get_grps(PyObject *); /*proto*/
static PyObject *__pyx_f_7netCDF4__get_vars(PyObject *); /*proto*/
static PyObject *__pyx_f_7netCDF4__def_compound(PyObject *, PyObject *, PyObject *); /*proto*/
static PyObject *__pyx_f_7netCDF4__find_cmptype(PyObject *, PyObject *); /*proto*/
-static PyObject *__pyx_f_7netCDF4__read_compound(PyObject *, nc_type); /*proto*/
+static PyObject *__pyx_f_7netCDF4__read_compound(PyObject *, nc_type, struct __pyx_opt_args_7netCDF4__read_compound *__pyx_optional_args); /*proto*/
static PyObject *__pyx_f_7netCDF4__def_vlen(PyObject *, PyObject *, PyObject *); /*proto*/
-static PyObject *__pyx_f_7netCDF4__read_vlen(PyObject *, nc_type); /*proto*/
+static PyObject *__pyx_f_7netCDF4__read_vlen(PyObject *, nc_type, struct __pyx_opt_args_7netCDF4__read_vlen *__pyx_optional_args); /*proto*/
static PyObject *__pyx_f_7netCDF4__strencode(PyObject *, struct __pyx_opt_args_7netCDF4__strencode *__pyx_optional_args); /*proto*/
#define __Pyx_MODULE_NAME "netCDF4"
int __pyx_module_is_main_netCDF4 = 0;
@@ -1298,7 +1328,6 @@ static PyObject *__pyx_tp_new_7netCDF4_Dimension(PyTypeObject *t, PyObject *a, P
static PyObject *__pyx_tp_new_7netCDF4_Variable(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_7netCDF4_CompoundType(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_7netCDF4_VLType(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
-static char __pyx_k_[] = "*";
static char __pyx_k_1[] = "1";
static char __pyx_k_O[] = "O";
static char __pyx_k_S[] = "S";
@@ -1306,6 +1335,7 @@ static char __pyx_k_U[] = "U";
static char __pyx_k_V[] = "V";
static char __pyx_k_a[] = "a";
static char __pyx_k_b[] = "b";
+static char __pyx_k_d[] = "d";
static char __pyx_k_f[] = "f";
static char __pyx_k_i[] = "i";
static char __pyx_k_k[] = "k";
@@ -1340,19 +1370,19 @@ static char __pyx_k_u2[] = "u2";
static char __pyx_k_u4[] = "u4";
static char __pyx_k_u8[] = "u8";
static char __pyx_k_ws[] = "ws";
-static char __pyx_k__15[] = "/";
-static char __pyx_k__16[] = "";
-static char __pyx_k__25[] = "\000";
-static char __pyx_k__36[] = "'";
-static char __pyx_k__38[] = ", ";
-static char __pyx_k__39[] = ",";
-static char __pyx_k__41[] = ",)";
-static char __pyx_k__42[] = ")";
-static char __pyx_k__44[] = "__";
-static char __pyx_k__51[] = "=";
-static char __pyx_k__52[] = ">";
-static char __pyx_k__53[] = "<";
-static char __pyx_k__54[] = "|";
+static char __pyx_k__14[] = "/";
+static char __pyx_k__15[] = "";
+static char __pyx_k__24[] = "\000";
+static char __pyx_k__34[] = "<";
+static char __pyx_k__35[] = ">";
+static char __pyx_k__37[] = "'";
+static char __pyx_k__39[] = ", ";
+static char __pyx_k__40[] = ",";
+static char __pyx_k__42[] = ",)";
+static char __pyx_k__43[] = ")";
+static char __pyx_k__45[] = "__";
+static char __pyx_k__52[] = "=";
+static char __pyx_k__53[] = "|";
static char __pyx_k_all[] = "all";
static char __pyx_k_any[] = "any";
static char __pyx_k_arr[] = "arr";
@@ -1387,7 +1417,7 @@ static char __pyx_k_val[] = "val";
static char __pyx_k_var[] = "var";
static char __pyx_k_vid[] = "vid";
static char __pyx_k_zip[] = "zip";
-static char __pyx_k__116[] = ".";
+static char __pyx_k__115[] = ".";
static char __pyx_k_bool[] = "bool";
static char __pyx_k_cdfm[] = "cdfm";
static char __pyx_k_char[] = "char";
@@ -1402,6 +1432,7 @@ static char __pyx_k_elem[] = "elem";
static char __pyx_k_f4_2[] = "<f4";
static char __pyx_k_f4_3[] = ">f4";
static char __pyx_k_find[] = "find";
+static char __pyx_k_flat[] = "flat";
static char __pyx_k_glob[] = "glob";
static char __pyx_k_grps[] = "_grps";
static char __pyx_k_hour[] = "hour";
@@ -1441,8 +1472,9 @@ static char __pyx_k_vars[] = "_vars";
static char __pyx_k_view[] = "view";
static char __pyx_k_vlen[] = "vlen";
static char __pyx_k_warn[] = "warn";
+static char __pyx_k_year[] = "year";
static char __pyx_k_zlib[] = "zlib";
-static char __pyx_k_1_1_4[] = "1.1.4";
+static char __pyx_k_1_1_7[] = "1.1.7";
static char __pyx_k_4_2_1[] = "4.2.1";
static char __pyx_k_align[] = "align";
static char __pyx_k_array[] = "array";
@@ -1466,25 +1498,26 @@ static char __pyx_k_hours[] = "hours";
static char __pyx_k_isnan[] = "isnan";
static char __pyx_k_items[] = "items";
static char __pyx_k_lower[] = "lower";
+static char __pyx_k_month[] = "month";
static char __pyx_k_msecs[] = "msecs";
static char __pyx_k_names[] = "names";
static char __pyx_k_numpy[] = "numpy";
-static char __pyx_k_parse[] = "parse";
static char __pyx_k_proxy[] = "proxy";
static char __pyx_k_put_2[] = "_put";
static char __pyx_k_range[] = "range";
static char __pyx_k_ravel[] = "ravel";
static char __pyx_k_redef[] = "_redef";
+static char __pyx_k_round[] = "round";
static char __pyx_k_s_s_s[] = "%s %s%s\n";
static char __pyx_k_scale[] = "scale";
static char __pyx_k_shape[] = "shape";
static char __pyx_k_since[] = "since";
static char __pyx_k_split[] = "split";
static char __pyx_k_start[] = "start";
+static char __pyx_k_strip[] = "strip";
static char __pyx_k_times[] = "times";
static char __pyx_k_tostr[] = "_tostr";
static char __pyx_k_tsecs[] = "tsecs";
-static char __pyx_k_tzutc[] = "tzutc";
static char __pyx_k_units[] = "units";
static char __pyx_k_utf_8[] = "utf-8";
static char __pyx_k_utime[] = "utime";
@@ -1500,7 +1533,6 @@ static char __pyx_k_around[] = "around";
static char __pyx_k_astype[] = "astype";
static char __pyx_k_decode[] = "decode";
static char __pyx_k_dims_2[] = "dims";
-static char __pyx_k_dparse[] = "dparse";
static char __pyx_k_dset_2[] = "_dset";
static char __pyx_k_encode[] = "encode";
static char __pyx_k_enddef[] = "_enddef";
@@ -1514,6 +1546,7 @@ static char __pyx_k_isvlen[] = "_isvlen";
static char __pyx_k_little[] = "little";
static char __pyx_k_lstArr[] = "lstArr";
static char __pyx_k_master[] = "master";
+static char __pyx_k_minute[] = "minute";
static char __pyx_k_module[] = "__module__";
static char __pyx_k_msecsd[] = "msecsd";
static char __pyx_k_name_2[] = "_name";
@@ -1533,10 +1566,10 @@ static char __pyx_k_stride[] = "stride";
static char __pyx_k_string[] = "string";
static char __pyx_k_tolist[] = "tolist";
static char __pyx_k_typeid[] = "typeid";
-static char __pyx_k_tzinfo[] = "tzinfo";
static char __pyx_k_values[] = "values";
static char __pyx_k_vltype[] = "_vltype";
static char __pyx_k_IOError[] = "IOError";
+static char __pyx_k_MINYEAR[] = "MINYEAR";
static char __pyx_k_NETCDF3[] = "NETCDF3";
static char __pyx_k_NETCDF4[] = "NETCDF4";
static char __pyx_k_asarray[] = "asarray";
@@ -1559,6 +1592,7 @@ static char __pyx_k_getdims[] = "_getdims";
static char __pyx_k_getitem[] = "__getitem__";
static char __pyx_k_getname[] = "_getname";
static char __pyx_k_group_s[] = "group %s:\n";
+static char __pyx_k_minutes[] = "minutes";
static char __pyx_k_nc_type[] = "_nc_type";
static char __pyx_k_ncattrs[] = "ncattrs";
static char __pyx_k_netCDF4[] = "netCDF4";
@@ -1674,11 +1708,13 @@ static char __pyx_k_ncdump_var[] = "ncdump_var";
static char __pyx_k_nctonptype[] = "_nctonptype";
static char __pyx_k_netcdftime[] = "netcdftime";
static char __pyx_k_nptonctype[] = "_nptonctype";
+static char __pyx_k_parse_date[] = "_parse_date";
static char __pyx_k_preemption[] = "preemption";
static char __pyx_k_recdimname[] = "recdimname";
static char __pyx_k_sortbylist[] = "_sortbylist";
static char __pyx_k_startswith[] = "startswith";
static char __pyx_k_time2index[] = "time2index";
+static char __pyx_k_utc_offset[] = "utc_offset";
static char __pyx_k_ImportError[] = "ImportError";
static char __pyx_k_NC_DISKLESS[] = "NC_DISKLESS";
static char __pyx_k_OrderedDict[] = "OrderedDict";
@@ -1687,7 +1723,6 @@ static char __pyx_k_cdfRecVar_2[] = "cdfRecVar";
static char __pyx_k_chunk_cache[] = "chunk_cache";
static char __pyx_k_collections[] = "collections";
static char __pyx_k_concatenate[] = "concatenate";
-static char __pyx_k_dateutil_tz[] = "dateutil.tz";
static char __pyx_k_disk_format[] = "_disk_format";
static char __pyx_k_file_format[] = "_file_format";
static char __pyx_k_filling_off[] = "filling off\n";
@@ -1748,7 +1783,6 @@ static char __pyx_k_Variable___init[] = "_Variable.__init__";
static char __pyx_k_Variable___repr[] = "_Variable.__repr__";
static char __pyx_k_Variable__shape[] = "_Variable._shape";
static char __pyx_k_current_shape_s[] = "current shape = %s\n";
-static char __pyx_k_dateutil_parser[] = "dateutil.parser";
static char __pyx_k_has_nc_inq_path[] = "__has_nc_inq_path__";
static char __pyx_k_out_array_shape[] = "_out_array_shape";
static char __pyx_k_Dimension___init[] = "_Dimension.__init__";
@@ -1797,7 +1831,7 @@ static char __pyx_k_Variable_set_auto_maskandscale[] = "_Variable.set_auto_maska
static char __pyx_k_filepath_method_not_enabled_To[] = "\nfilepath method not enabled. To enable, install Cython, make sure you have \nversion 4.1.2 or higher of the netcdf C lib, and rebuild netcdf4-python.";
static char __pyx_k_renameGroup_method_not_enabled[] = "\nrenameGroup method not enabled. To enable, install Cython, make sure you have \nversion 4.3.1 or higher of the netcdf C lib, and rebuild netcdf4-python.";
static char __pyx_k_FillValue_attribute_must_be_set[] = "_FillValue attribute must be set when variable is ";
-static char __pyx_k_Introduction_Python_interface_t[] = "\nIntroduction\n============\n\nPython interface to the netCDF version 4 library. U{netCDF version 4 \n<http://www.unidata.ucar.edu/software/netcdf/netcdf-4>} has many features \nnot found in earlier versions of the library and is implemented on top of \nU{HDF5 <http://www.hdfgroup.org/HDF5>}. This module can read and write \nfiles in both the new netCDF 4 and the old netCDF 3 format, and can create \nfiles that are readable by HD [...]
+static char __pyx_k_Introduction_Python_interface_t[] = "\nIntroduction\n============\n\nPython interface to the netCDF version 4 library. U{netCDF version 4 \n<http://www.unidata.ucar.edu/software/netcdf/netcdf-4>} has many features \nnot found in earlier versions of the library and is implemented on top of \nU{HDF5 <http://www.hdfgroup.org/HDF5>}. This module can read and write \nfiles in both the new netCDF 4 and the old netCDF 3 format, and can create \nfiles that are readable by HD [...]
static char __pyx_k_MFDataset_self_files_check_Fals[] = "\nMFDataset(self, files, check=False, aggdim=None, exclude=[])\n\nClass for reading multi-file netCDF Datasets, making variables\nspanning multiple files appear as if they were in one file.\n\nDatasets must be in C{NETCDF4_CLASSIC, NETCDF3_CLASSIC or NETCDF3_64BIT}\nformat (C{NETCDF4} Datasets won't work).\n\nAdapted from U{pycdf <http://pysclint.sourceforge.net/pycdf>} by Andre Gosselin.\n\nExample usage:\n\n>>> import numpy\n>>> [...]
static char __pyx_k_MFTime_self_time_units_None_Cla[] = "\nMFTime(self, time, units=None)\n\nClass providing an interface to a MFDataset time Variable by imposing a unique common\ntime unit to all files.\n\nExample usage:\n\n>>> import numpy\n>>> f1 = Dataset('mftest_1.nc','w', format='NETCDF4_CLASSIC')\n>>> f2 = Dataset('mftest_2.nc','w', format='NETCDF4_CLASSIC')\n>>> f1.createDimension('time',None)\n>>> f2.createDimension('time',None)\n>>> t1 = f1.createVariable('time','i',('time',))\ [...]
static char __pyx_k_Users_jsw_python_netcdf4_python[] = "/Users/jsw/python/netcdf4-python.git/utils.pyx";
@@ -1830,7 +1864,6 @@ static char __pyx_k_chunksizes_must_be_a_sequence_wi[] = "chunksizes must be a s
static char __pyx_k_compound_field_of_an_unsupported[] = "compound field of an unsupported data type";
static char __pyx_k_created_using_fill_value_keyword[] = "created (using fill_value keyword to createVariable)";
static char __pyx_k_data_to_put_in_string_variable_m[] = "data to put in string variable must be an object array containing Python strings";
-static char __pyx_k_dateutil_module_required_for_acc[] = "dateutil module required for accuracy < 1 second";
static char __pyx_k_dimension_s_not_defined_in_group[] = "dimension %s not defined in group %s or any group in it's family tree";
static char __pyx_k_diskless_mode_requires_netcdf_li[] = "diskless mode requires netcdf lib >= 4.2.1, you have %s";
static char __pyx_k_dtype_must_string_or_unicode_S_o[] = "dtype must string or unicode ('S' or 'U')";
@@ -1840,7 +1873,6 @@ static char __pyx_k_format_must_be_NETCDF4_NETCDF4_C[] = "format must be 'NETCDF
static char __pyx_k_illegal_primitive_data_type_must[] = "illegal primitive data type, must be one of %s, got %s";
static char __pyx_k_invalid_scale_factor_or_add_offs[] = "invalid scale_factor or add_offset attribute, no unpacking done...";
static char __pyx_k_master_dataset_s_does_not_have_a[] = "master dataset %s does not have a aggregation dimension";
-static char __pyx_k_milliseconds_microseconds_not_su[] = "milliseconds/microseconds not supported for this calendar";
static char __pyx_k_negative_strides_not_allowed_whe[] = "negative strides not allowed when slicing MFVariable Variable instance";
static char __pyx_k_numpy_data_type_for_primitive_da[] = "numpy data type (for primitive data types) or VLType/CompoundType instance (for compound or vlen data types)";
static char __pyx_k_only_endian_native_allowed_for_N[] = "only endian='native' allowed for NETCDF3 files";
@@ -1867,10 +1899,9 @@ static char __pyx_k_Users_jsw_python_netcdf4_python_2[] = "/Users/jsw/python/net
static char __pyx_k_s_is_one_of_the_reserved_attrib_2[] = "'%s' is one of the reserved attributes %s, cannot rebind. Use setncattr instead.";
static char __pyx_k_filling_on_default__FillValue_of_2[] = "filling on, default _FillValue of %s used\n";
static char __pyx_k_master_dataset_s_does_not_have_a_2[] = "master dataset %s does not have any variables to aggregate";
-static PyObject *__pyx_n_s_;
static PyObject *__pyx_kp_s_0m;
static PyObject *__pyx_kp_s_1;
-static PyObject *__pyx_kp_s_1_1_4;
+static PyObject *__pyx_kp_s_1_1_7;
static PyObject *__pyx_kp_s_4_2_1;
static PyObject *__pyx_kp_s_4m;
static PyObject *__pyx_n_s_AttributeError;
@@ -1904,6 +1935,7 @@ static PyObject *__pyx_n_s_MFTime__time;
static PyObject *__pyx_kp_s_MFTime_requires_that_the_same_ti;
static PyObject *__pyx_kp_s_MFTime_requires_that_the_time_va;
static PyObject *__pyx_kp_s_MFTime_self_time_units_None_Cla;
+static PyObject *__pyx_n_s_MINYEAR;
static PyObject *__pyx_n_s_NC_DISKLESS;
static PyObject *__pyx_n_s_NETCDF3;
static PyObject *__pyx_n_s_NETCDF3_64BIT;
@@ -1939,20 +1971,20 @@ static PyObject *__pyx_n_s_Variable_ncattrs;
static PyObject *__pyx_kp_s_Variable_object_no_longer_valid;
static PyObject *__pyx_n_s_Variable_set_auto_maskandscale;
static PyObject *__pyx_n_s_Variable_typecode;
-static PyObject *__pyx_kp_s__116;
+static PyObject *__pyx_kp_s__115;
+static PyObject *__pyx_kp_s__14;
static PyObject *__pyx_kp_s__15;
-static PyObject *__pyx_kp_s__16;
-static PyObject *__pyx_kp_s__25;
-static PyObject *__pyx_kp_s__36;
-static PyObject *__pyx_kp_s__38;
+static PyObject *__pyx_kp_s__24;
+static PyObject *__pyx_kp_s__34;
+static PyObject *__pyx_kp_s__35;
+static PyObject *__pyx_kp_s__37;
static PyObject *__pyx_kp_s__39;
-static PyObject *__pyx_kp_s__41;
+static PyObject *__pyx_kp_s__40;
static PyObject *__pyx_kp_s__42;
-static PyObject *__pyx_n_s__44;
-static PyObject *__pyx_kp_s__51;
+static PyObject *__pyx_kp_s__43;
+static PyObject *__pyx_n_s__45;
static PyObject *__pyx_kp_s__52;
static PyObject *__pyx_kp_s__53;
-static PyObject *__pyx_kp_s__54;
static PyObject *__pyx_n_s_a;
static PyObject *__pyx_n_s_add_offset;
static PyObject *__pyx_n_s_aggDimId;
@@ -2020,6 +2052,7 @@ static PyObject *__pyx_n_s_count;
static PyObject *__pyx_kp_s_created_using_fill_value_keyword;
static PyObject *__pyx_kp_s_current_shape_s;
static PyObject *__pyx_kp_s_current_size_s;
+static PyObject *__pyx_n_s_d;
static PyObject *__pyx_kp_s_d_d_d;
static PyObject *__pyx_kp_s_d_d_d_s;
static PyObject *__pyx_n_s_dat;
@@ -2036,9 +2069,6 @@ static PyObject *__pyx_n_s_date2num;
static PyObject *__pyx_n_s_dateparse;
static PyObject *__pyx_n_s_dates;
static PyObject *__pyx_n_s_datetime;
-static PyObject *__pyx_kp_s_dateutil_module_required_for_acc;
-static PyObject *__pyx_n_s_dateutil_parser;
-static PyObject *__pyx_n_s_dateutil_tz;
static PyObject *__pyx_n_s_day;
static PyObject *__pyx_n_s_days;
static PyObject *__pyx_n_s_decode;
@@ -2064,7 +2094,6 @@ static PyObject *__pyx_n_s_disk_format_2;
static PyObject *__pyx_n_s_diskless;
static PyObject *__pyx_kp_s_diskless_mode_requires_netcdf_li;
static PyObject *__pyx_n_s_doc;
-static PyObject *__pyx_n_s_dparse;
static PyObject *__pyx_n_s_dset;
static PyObject *__pyx_n_s_dset_2;
static PyObject *__pyx_n_s_dt;
@@ -2105,6 +2134,7 @@ static PyObject *__pyx_kp_s_filling_on_default__FillValue_of;
static PyObject *__pyx_kp_s_filling_on_default__FillValue_of_2;
static PyObject *__pyx_n_s_find;
static PyObject *__pyx_n_s_find_dim;
+static PyObject *__pyx_n_s_flat;
static PyObject *__pyx_n_s_flatten;
static PyObject *__pyx_n_s_fletcher32;
static PyObject *__pyx_n_s_float;
@@ -2200,12 +2230,14 @@ static PyObject *__pyx_n_s_microsecond;
static PyObject *__pyx_n_s_microseconds;
static PyObject *__pyx_n_s_millisecond;
static PyObject *__pyx_n_s_milliseconds;
-static PyObject *__pyx_kp_s_milliseconds_microseconds_not_su;
static PyObject *__pyx_n_s_minorvers;
+static PyObject *__pyx_n_s_minute;
+static PyObject *__pyx_n_s_minutes;
static PyObject *__pyx_n_s_missing_value;
static PyObject *__pyx_n_s_mode;
static PyObject *__pyx_kp_s_mode_must_be_w_r_a_or_r_got_s;
static PyObject *__pyx_n_s_module;
+static PyObject *__pyx_n_s_month;
static PyObject *__pyx_n_s_msecs;
static PyObject *__pyx_n_s_msecsd;
static PyObject *__pyx_n_s_msg;
@@ -2250,7 +2282,7 @@ static PyObject *__pyx_kp_s_only_numpy_string_unicode_or_obj;
static PyObject *__pyx_n_s_ordereddict;
static PyObject *__pyx_n_s_out_array_shape;
static PyObject *__pyx_n_s_parent;
-static PyObject *__pyx_n_s_parse;
+static PyObject *__pyx_n_s_parse_date;
static PyObject *__pyx_n_s_part;
static PyObject *__pyx_n_s_patchstring;
static PyObject *__pyx_n_s_path;
@@ -2293,6 +2325,7 @@ static PyObject *__pyx_n_s_repr;
static PyObject *__pyx_kp_s_requires_numpy_version_1_0rc1_or;
static PyObject *__pyx_n_s_reshape;
static PyObject *__pyx_kp_s_root_group_s_data_model_file_for;
+static PyObject *__pyx_n_s_round;
static PyObject *__pyx_kp_s_s;
static PyObject *__pyx_n_s_s_2;
static PyObject *__pyx_kp_s_s_is_one_of_the_reserved_attrib;
@@ -2342,6 +2375,7 @@ static PyObject *__pyx_n_s_string;
static PyObject *__pyx_kp_s_string_type;
static PyObject *__pyx_n_s_stringtoarr;
static PyObject *__pyx_n_s_stringtochar;
+static PyObject *__pyx_n_s_strip;
static PyObject *__pyx_n_s_strt;
static PyObject *__pyx_n_s_subdtype;
static PyObject *__pyx_n_s_sum;
@@ -2369,8 +2403,6 @@ static PyObject *__pyx_n_s_tsecs;
static PyObject *__pyx_kp_s_type_must_string_or_unicode_S_or;
static PyObject *__pyx_n_s_typecode;
static PyObject *__pyx_n_s_typeid;
-static PyObject *__pyx_n_s_tzinfo;
-static PyObject *__pyx_n_s_tzutc;
static PyObject *__pyx_kp_s_u;
static PyObject *__pyx_n_s_u1;
static PyObject *__pyx_n_s_u2;
@@ -2386,6 +2418,7 @@ static PyObject *__pyx_kp_s_unlimited_dimensions_s_2;
static PyObject *__pyx_kp_s_unlimited_name_s_size_s;
static PyObject *__pyx_kp_s_unsupported_component_type_for_V;
static PyObject *__pyx_kp_s_unsupported_datatype_specified_f;
+static PyObject *__pyx_n_s_utc_offset;
static PyObject *__pyx_kp_s_utf_8;
static PyObject *__pyx_n_s_utime;
static PyObject *__pyx_n_s_v;
@@ -2425,14 +2458,17 @@ static PyObject *__pyx_n_s_weakref;
static PyObject *__pyx_kp_s_wrong_data_type_in_object_array;
static PyObject *__pyx_kp_s_wrong_data_type_should_be_s_got;
static PyObject *__pyx_n_s_ws;
+static PyObject *__pyx_n_s_year;
static PyObject *__pyx_n_s_zeros;
static PyObject *__pyx_n_s_zip;
static PyObject *__pyx_n_s_zlib;
static PyObject *__pyx_float_0_0;
static PyObject *__pyx_float_1_0;
static PyObject *__pyx_float_24_;
+static PyObject *__pyx_float_60_;
static PyObject *__pyx_float_1_e3;
static PyObject *__pyx_float_1_e6;
+static PyObject *__pyx_float_1440_;
static PyObject *__pyx_float_3600_;
static PyObject *__pyx_float_86400_;
static PyObject *__pyx_int_0;
@@ -2445,84 +2481,87 @@ static PyObject *__pyx_int_8;
static PyObject *__pyx_int_10;
static PyObject *__pyx_int_15;
static PyObject *__pyx_int_24;
+static PyObject *__pyx_int_60;
static PyObject *__pyx_int_1582;
static PyObject *__pyx_int_1900;
static PyObject *__pyx_int_3600;
static PyObject *__pyx_int_neg_1;
-static PyObject *__pyx_slice__7;
+static PyObject *__pyx_tuple_;
+static PyObject *__pyx_slice__6;
+static PyObject *__pyx_slice__8;
static PyObject *__pyx_slice__9;
static PyObject *__pyx_tuple__2;
static PyObject *__pyx_tuple__3;
static PyObject *__pyx_tuple__4;
static PyObject *__pyx_tuple__5;
-static PyObject *__pyx_tuple__6;
-static PyObject *__pyx_tuple__8;
+static PyObject *__pyx_tuple__7;
static PyObject *__pyx_slice__10;
static PyObject *__pyx_slice__11;
static PyObject *__pyx_slice__12;
-static PyObject *__pyx_slice__13;
+static PyObject *__pyx_slice__16;
static PyObject *__pyx_slice__17;
static PyObject *__pyx_slice__18;
-static PyObject *__pyx_slice__19;
-static PyObject *__pyx_slice__21;
-static PyObject *__pyx_slice__30;
+static PyObject *__pyx_slice__20;
+static PyObject *__pyx_slice__29;
+static PyObject *__pyx_slice__31;
static PyObject *__pyx_slice__32;
static PyObject *__pyx_slice__33;
-static PyObject *__pyx_slice__34;
+static PyObject *__pyx_slice__55;
static PyObject *__pyx_slice__56;
-static PyObject *__pyx_slice__57;
+static PyObject *__pyx_slice__61;
static PyObject *__pyx_slice__62;
-static PyObject *__pyx_slice__63;
+static PyObject *__pyx_slice__69;
static PyObject *__pyx_slice__70;
-static PyObject *__pyx_slice__71;
+static PyObject *__pyx_slice__73;
static PyObject *__pyx_slice__74;
-static PyObject *__pyx_slice__75;
-static PyObject *__pyx_slice__81;
-static PyObject *__pyx_slice__83;
+static PyObject *__pyx_slice__80;
+static PyObject *__pyx_slice__82;
+static PyObject *__pyx_slice__84;
static PyObject *__pyx_slice__85;
static PyObject *__pyx_slice__86;
-static PyObject *__pyx_slice__87;
-static PyObject *__pyx_slice__97;
-static PyObject *__pyx_tuple__14;
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int __pyx_v_isscalar;
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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__Pyx_DECREF(__pyx_t_1);
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__Pyx_GIVEREF(__pyx_t_4);
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PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_3 = NULL;
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PyTuple_SET_ITEM(__pyx_t_4, 3+__pyx_t_5, __pyx_v_put_ind);
__Pyx_GIVEREF(__pyx_v_put_ind);
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goto __pyx_L21_unpacking_done;
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__Pyx_XDECREF_SET(__pyx_v_s, ((PyObject*)__pyx_t_4));
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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__Pyx_XDECREF_SET(__pyx_v_lstArr, __pyx_t_1);
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}
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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__pyx_t_3 = __pyx_t_1; __Pyx_INCREF(__pyx_t_3); __pyx_t_4 = 0;
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__Pyx_GOTREF(__pyx_t_3);
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+ __pyx_t_5 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 782; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -15195,16 +15240,16 @@ static PyObject *__pyx_pf_7netCDF4_6MFTime___init__(CYTHON_UNUSED PyObject *__py
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} else {
if (__pyx_t_4 >= PyTuple_GET_SIZE(__pyx_t_3)) break;
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+ __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_4); __Pyx_INCREF(__pyx_t_1); __pyx_t_4++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 782; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- else {__pyx_filename = __pyx_f[1]; __pyx_lineno = 787; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (size > 2) __Pyx_RaiseTooManyValuesError(2);
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- {__pyx_filename = __pyx_f[1]; __pyx_lineno = 787; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[1]; __pyx_lineno = 782; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_2);
__Pyx_INCREF(__pyx_t_6);
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+ __pyx_t_6 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 782; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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__Pyx_XDECREF_SET(__pyx_v_value, __pyx_t_6);
__pyx_t_6 = 0;
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_dict); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 783; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ if (unlikely(PyObject_SetItem(__pyx_t_1, __pyx_v_name, __pyx_v_value) < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 783; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
- /* "utils.pyx":791
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* # make sure calendar attribute present in all files.
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- else {__pyx_filename = __pyx_f[1]; __pyx_lineno = 791; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_3);
__pyx_t_3 = 0;
- /* "utils.pyx":792
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+ __pyx_t_9 = PyObject_HasAttr(__pyx_v_t, __pyx_n_s_calendar); if (unlikely(__pyx_t_9 == -1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 787; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_10 = ((!(__pyx_t_9 != 0)) != 0);
if (__pyx_t_10) {
- /* "utils.pyx":793
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+ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__21, NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 788; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_Raise(__pyx_t_3, 0, 0, 0);
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- {__pyx_filename = __pyx_f[1]; __pyx_lineno = 793; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[1]; __pyx_lineno = 788; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "utils.pyx":791
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* # make sure calendar attribute present in all files.
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}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- /* "utils.pyx":796
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* # Check that calendar is the same in all files.
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 917; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4.pyx":918
+ /* "netCDF4.pyx":894
* if ierr != NC_NOERR:
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* attslist = [] # <<<<<<<<<<<<<<
* for n from 0 <= n < numatts:
- * ierr = nc_inq_attname(grpid, varid, n, namstring)
+ * with nogil:
*/
- __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 918; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_attslist = ((PyObject*)__pyx_t_3);
__pyx_t_3 = 0;
- /* "netCDF4.pyx":919
+ /* "netCDF4.pyx":895
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* attslist = []
* for n from 0 <= n < numatts: # <<<<<<<<<<<<<<
- * ierr = nc_inq_attname(grpid, varid, n, namstring)
- * if ierr != NC_NOERR:
+ * with nogil:
+ * ierr = nc_inq_attname(grpid, varid, n, namstring)
*/
__pyx_t_5 = __pyx_v_numatts;
for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_5; __pyx_v_n++) {
- /* "netCDF4.pyx":920
+ /* "netCDF4.pyx":896
* attslist = []
* for n from 0 <= n < numatts:
- * ierr = nc_inq_attname(grpid, varid, n, namstring) # <<<<<<<<<<<<<<
+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_inq_attname(grpid, varid, n, namstring)
+ * if ierr != NC_NOERR:
+ */
+ {
+ #ifdef WITH_THREAD
+ PyThreadState *_save;
+ Py_UNBLOCK_THREADS
+ #endif
+ /*try:*/ {
+
+ /* "netCDF4.pyx":897
+ * for n from 0 <= n < numatts:
+ * with nogil:
+ * ierr = nc_inq_attname(grpid, varid, n, namstring) # <<<<<<<<<<<<<<
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
*/
- __pyx_v_ierr = nc_inq_attname(__pyx_v_grpid, __pyx_v_varid, __pyx_v_n, __pyx_v_namstring);
+ __pyx_v_ierr = nc_inq_attname(__pyx_v_grpid, __pyx_v_varid, __pyx_v_n, __pyx_v_namstring);
+ }
- /* "netCDF4.pyx":921
+ /* "netCDF4.pyx":896
+ * attslist = []
* for n from 0 <= n < numatts:
- * ierr = nc_inq_attname(grpid, varid, n, namstring)
+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_inq_attname(grpid, varid, n, namstring)
+ * if ierr != NC_NOERR:
+ */
+ /*finally:*/ {
+ /*normal exit:*/{
+ #ifdef WITH_THREAD
+ Py_BLOCK_THREADS
+ #endif
+ goto __pyx_L17;
+ }
+ __pyx_L17:;
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+
+ /* "netCDF4.pyx":898
+ * with nogil:
+ * ierr = nc_inq_attname(grpid, varid, n, namstring)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
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if (__pyx_t_1) {
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- * ierr = nc_inq_attname(grpid, varid, n, namstring)
+ /* "netCDF4.pyx":899
+ * ierr = nc_inq_attname(grpid, varid, n, namstring)
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii')) # <<<<<<<<<<<<<<
* attslist.append(namstring.decode(default_encoding,unicode_error))
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*/
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_Raise(__pyx_t_3, 0, 0, 0);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 922; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
- /* "netCDF4.pyx":923
+ /* "netCDF4.pyx":900
* if ierr != NC_NOERR:
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+ __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s_default_encoding); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 900; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -16312,7 +16456,7 @@ static PyObject *__pyx_f_7netCDF4__get_att_names(int __pyx_v_grpid, int __pyx_v_
__pyx_t_9 = 1;
}
}
- __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 923; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_8); __Pyx_GIVEREF(__pyx_t_8); __pyx_t_8 = NULL;
@@ -16323,15 +16467,15 @@ static PyObject *__pyx_f_7netCDF4__get_att_names(int __pyx_v_grpid, int __pyx_v_
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__pyx_t_4 = 0;
__pyx_t_7 = 0;
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__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
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+ __pyx_t_11 = __Pyx_PyList_Append(__pyx_v_attslist, __pyx_t_3); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 900; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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- /* "netCDF4.pyx":924
+ /* "netCDF4.pyx":901
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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__pyx_r = __pyx_v_attslist;
goto __pyx_L0;
- /* "netCDF4.pyx":908
+ /* "netCDF4.pyx":882
* # internal C functions.
*
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return __pyx_r;
}
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+/* "netCDF4.pyx":903
* return attslist
*
* cdef _get_att(grp, int varid, name): # <<<<<<<<<<<<<<
* # Private function to get an attribute value given its name
- * cdef int ierr, n
+ * cdef int ierr, n, _grpid
*/
static PyObject *__pyx_f_7netCDF4__get_att(PyObject *__pyx_v_grp, int __pyx_v_varid, PyObject *__pyx_v_name) {
int __pyx_v_ierr;
+ int __pyx_v__grpid;
size_t __pyx_v_att_len;
char *__pyx_v_attname;
char *__pyx_v_stratt;
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__Pyx_RefNannySetupContext("_get_att", 0);
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* attname = bytestr
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*/
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- * ierr = nc_inq_att(grp._grpid, varid, attname, &att_type, &att_len)
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*/
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__pyx_v_attname = __pyx_t_2;
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+ PyThreadState *_save;
+ Py_UNBLOCK_THREADS
+ #endif
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+ /* "netCDF4.pyx":917
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goto __pyx_L0;
break;
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- * pstring = stratt.decode(default_encoding,unicode_error).replace('\x00','')
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+ PyThreadState *_save;
+ Py_UNBLOCK_THREADS
+ #endif
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+ /* "netCDF4.pyx":936
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+ * elif att_type == NC_STRING:
* if att_len == 1:
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+ Py_BLOCK_THREADS
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__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
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__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
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__pyx_t_6 = 0;
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- * ierr = nc_get_att_string(grp._grpid, varid, attname, &stratt)
+ /* "netCDF4.pyx":938
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__Pyx_GOTREF(__pyx_t_6);
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__Pyx_XDECREF(__pyx_t_17); __pyx_t_17 = 0;
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@@ -17169,7 +17443,7 @@ static PyObject *__pyx_f_7netCDF4__get_att(PyObject *__pyx_v_grp, int __pyx_v_va
* return value_arr
*/
__Pyx_XDECREF(__pyx_r);
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+ __pyx_t_11 = __Pyx_GetItemInt(((PyObject *)__pyx_v_value_arr), 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(__pyx_t_11 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 963; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
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}
/*else*/ {
- /* "netCDF4.pyx":983
+ /* "netCDF4.pyx":965
* return value_arr[0]
* else:
* return value_arr # <<<<<<<<<<<<<<
@@ -17192,12 +17466,12 @@ static PyObject *__pyx_f_7netCDF4__get_att(PyObject *__pyx_v_grp, int __pyx_v_va
break;
}
- /* "netCDF4.pyx":926
+ /* "netCDF4.pyx":903
* return attslist
*
* cdef _get_att(grp, int varid, name): # <<<<<<<<<<<<<<
* # Private function to get an attribute value given its name
- * cdef int ierr, n
+ * cdef int ierr, n, _grpid
*/
/* function exit code */
@@ -17222,7 +17496,7 @@ static PyObject *__pyx_f_7netCDF4__get_att(PyObject *__pyx_v_grp, int __pyx_v_va
return __pyx_r;
}
-/* "netCDF4.pyx":985
+/* "netCDF4.pyx":967
* return value_arr
*
* def _set_default_format(object format='NETCDF4'): # <<<<<<<<<<<<<<
@@ -17262,7 +17536,7 @@ static PyObject *__pyx_pw_7netCDF4_19_set_default_format(PyObject *__pyx_self, P
}
}
if (unlikely(kw_args > 0)) {
- if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_set_default_format") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 985; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "_set_default_format") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 967; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
} else {
switch (PyTuple_GET_SIZE(__pyx_args)) {
@@ -17275,7 +17549,7 @@ static PyObject *__pyx_pw_7netCDF4_19_set_default_format(PyObject *__pyx_self, P
}
goto __pyx_L4_argument_unpacking_done;
__pyx_L5_argtuple_error:;
- __Pyx_RaiseArgtupleInvalid("_set_default_format", 0, 0, 1, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 985; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ __Pyx_RaiseArgtupleInvalid("_set_default_format", 0, 0, 1, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 967; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_L3_error:;
__Pyx_AddTraceback("netCDF4._set_default_format", __pyx_clineno, __pyx_lineno, __pyx_filename);
__Pyx_RefNannyFinishContext();
@@ -17299,17 +17573,17 @@ static PyObject *__pyx_pf_7netCDF4_18_set_default_format(CYTHON_UNUSED PyObject
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("_set_default_format", 0);
- /* "netCDF4.pyx":987
+ /* "netCDF4.pyx":969
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* if format == 'NETCDF4': # <<<<<<<<<<<<<<
* nc_set_default_format(NC_FORMAT_NETCDF4, NULL)
* elif format == 'NETCDF4_CLASSIC':
*/
- __pyx_t_1 = (__Pyx_PyString_Equals(__pyx_v_format, __pyx_n_s_NETCDF4, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 987; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = (__Pyx_PyString_Equals(__pyx_v_format, __pyx_n_s_NETCDF4, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 969; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_1) {
- /* "netCDF4.pyx":988
+ /* "netCDF4.pyx":970
* # Private function to set the netCDF file format
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goto __pyx_L3;
}
- /* "netCDF4.pyx":989
+ /* "netCDF4.pyx":971
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* elif format == 'NETCDF4_CLASSIC': # <<<<<<<<<<<<<<
* nc_set_default_format(NC_FORMAT_NETCDF4_CLASSIC, NULL)
* elif format == 'NETCDF3_64BIT':
*/
- __pyx_t_1 = (__Pyx_PyString_Equals(__pyx_v_format, __pyx_n_s_NETCDF4_CLASSIC, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 989; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = (__Pyx_PyString_Equals(__pyx_v_format, __pyx_n_s_NETCDF4_CLASSIC, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 971; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_1) {
- /* "netCDF4.pyx":990
+ /* "netCDF4.pyx":972
* nc_set_default_format(NC_FORMAT_NETCDF4, NULL)
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goto __pyx_L3;
}
- /* "netCDF4.pyx":991
+ /* "netCDF4.pyx":973
* elif format == 'NETCDF4_CLASSIC':
* nc_set_default_format(NC_FORMAT_NETCDF4_CLASSIC, NULL)
* elif format == 'NETCDF3_64BIT': # <<<<<<<<<<<<<<
* nc_set_default_format(NC_FORMAT_64BIT, NULL)
* elif format == 'NETCDF3_CLASSIC':
*/
- __pyx_t_1 = (__Pyx_PyString_Equals(__pyx_v_format, __pyx_n_s_NETCDF3_64BIT, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 991; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = (__Pyx_PyString_Equals(__pyx_v_format, __pyx_n_s_NETCDF3_64BIT, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 973; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_1) {
- /* "netCDF4.pyx":992
+ /* "netCDF4.pyx":974
* nc_set_default_format(NC_FORMAT_NETCDF4_CLASSIC, NULL)
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@@ -17362,17 +17636,17 @@ static PyObject *__pyx_pf_7netCDF4_18_set_default_format(CYTHON_UNUSED PyObject
goto __pyx_L3;
}
- /* "netCDF4.pyx":993
+ /* "netCDF4.pyx":975
* elif format == 'NETCDF3_64BIT':
* nc_set_default_format(NC_FORMAT_64BIT, NULL)
* elif format == 'NETCDF3_CLASSIC': # <<<<<<<<<<<<<<
* nc_set_default_format(NC_FORMAT_CLASSIC, NULL)
* else:
*/
- __pyx_t_1 = (__Pyx_PyString_Equals(__pyx_v_format, __pyx_n_s_NETCDF3_CLASSIC, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 993; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = (__Pyx_PyString_Equals(__pyx_v_format, __pyx_n_s_NETCDF3_CLASSIC, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 975; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_1) {
- /* "netCDF4.pyx":994
+ /* "netCDF4.pyx":976
* nc_set_default_format(NC_FORMAT_64BIT, NULL)
* elif format == 'NETCDF3_CLASSIC':
* nc_set_default_format(NC_FORMAT_CLASSIC, NULL) # <<<<<<<<<<<<<<
@@ -17384,30 +17658,30 @@ static PyObject *__pyx_pf_7netCDF4_18_set_default_format(CYTHON_UNUSED PyObject
}
/*else*/ {
- /* "netCDF4.pyx":996
+ /* "netCDF4.pyx":978
* nc_set_default_format(NC_FORMAT_CLASSIC, NULL)
* else:
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*
* cdef _get_format(int grpid):
*/
- __pyx_t_2 = __Pyx_PyString_Format(__pyx_kp_s_format_must_be_NETCDF4_NETCDF4_C, __pyx_v_format); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 996; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = __Pyx_PyString_Format(__pyx_kp_s_format_must_be_NETCDF4_NETCDF4_C, __pyx_v_format); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 978; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 996; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 978; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_2);
__Pyx_GIVEREF(__pyx_t_2);
__pyx_t_2 = 0;
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+ __pyx_t_2 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 978; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_Raise(__pyx_t_2, 0, 0, 0);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 996; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_L3:;
- /* "netCDF4.pyx":985
+ /* "netCDF4.pyx":967
* return value_arr
*
* def _set_default_format(object format='NETCDF4'): # <<<<<<<<<<<<<<
@@ -17429,7 +17703,7 @@ static PyObject *__pyx_pf_7netCDF4_18_set_default_format(CYTHON_UNUSED PyObject
return __pyx_r;
}
-/* "netCDF4.pyx":998
+/* "netCDF4.pyx":980
* raise ValueError("format must be 'NETCDF4', 'NETCDF4_CLASSIC', 'NETCDF3_64BIT', or 'NETCDF3_CLASSIC', got '%s'" % format)
*
* cdef _get_format(int grpid): # <<<<<<<<<<<<<<
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int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("_get_format", 0);
- /* "netCDF4.pyx":1001
+ /* "netCDF4.pyx":983
* # Private function to get the netCDF file format
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+ * with nogil: # <<<<<<<<<<<<<<
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+ * if ierr != NC_NOERR:
+ */
+ {
+ #ifdef WITH_THREAD
+ PyThreadState *_save;
+ Py_UNBLOCK_THREADS
+ #endif
+ /*try:*/ {
+
+ /* "netCDF4.pyx":984
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+ * with nogil:
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* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
*/
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+ __pyx_v_ierr = nc_inq_format(__pyx_v_grpid, (&__pyx_v_formatp));
+ }
- /* "netCDF4.pyx":1002
+ /* "netCDF4.pyx":983
+ * # Private function to get the netCDF file format
* cdef int ierr, formatp
- * ierr = nc_inq_format(grpid, &formatp)
+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_inq_format(grpid, &formatp)
+ * if ierr != NC_NOERR:
+ */
+ /*finally:*/ {
+ /*normal exit:*/{
+ #ifdef WITH_THREAD
+ Py_BLOCK_THREADS
+ #endif
+ goto __pyx_L5;
+ }
+ __pyx_L5:;
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+ }
+
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* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if formatp == NC_FORMAT_NETCDF4:
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if (__pyx_t_1) {
- /* "netCDF4.pyx":1003
- * ierr = nc_inq_format(grpid, &formatp)
+ /* "netCDF4.pyx":986
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__pyx_t_2 = ((char *)nc_strerror(__pyx_v_ierr));
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+ __pyx_t_3 = __Pyx_decode_c_string(__pyx_t_2, 0, strlen(__pyx_t_2), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 986; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 986; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_3);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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+ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_4, NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 986; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1003; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 986; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
- /* "netCDF4.pyx":1010
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* elif formatp == NC_FORMAT_64BIT:
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*/
switch (__pyx_v_formatp) {
- /* "netCDF4.pyx":1004
+ /* "netCDF4.pyx":987
* if ierr != NC_NOERR:
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*/
case NC_FORMAT_NETCDF4:
- /* "netCDF4.pyx":1005
+ /* "netCDF4.pyx":988
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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goto __pyx_L0;
break;
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*/
case NC_FORMAT_NETCDF4_CLASSIC:
- /* "netCDF4.pyx":1007
+ /* "netCDF4.pyx":990
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goto __pyx_L0;
break;
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* elif formatp == NC_FORMAT_NETCDF4_CLASSIC:
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*/
case NC_FORMAT_64BIT:
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goto __pyx_L0;
break;
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*/
case NC_FORMAT_CLASSIC:
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default: break;
}
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* raise ValueError("format must be 'NETCDF4', 'NETCDF4_CLASSIC', 'NETCDF3_64BIT', or 'NETCDF3_CLASSIC', got '%s'" % format)
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* cdef _get_format(int grpid): # <<<<<<<<<<<<<<
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return __pyx_r;
}
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* return 'NETCDF3_CLASSIC'
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return __pyx_r;
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int __pyx_v_ntypes;
int __pyx_v_classp;
int __pyx_v_n;
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nc_type __pyx_v_xtype;
nc_type __pyx_v_typeids[NC_MAX_VARS];
char __pyx_v_namstring[(NC_MAX_NAME + 1)];
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char *__pyx_t_4;
PyObject *__pyx_t_5 = NULL;
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PyObject *__pyx_t_11 = NULL;
PyObject *__pyx_t_12 = NULL;
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}
- goto __pyx_L4;
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+ /* "netCDF4.pyx":1143
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__pyx_r = __pyx_v_dimensions;
goto __pyx_L0;
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+ /* "netCDF4.pyx":1113
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__Pyx_XDECREF(__pyx_t_1);
__Pyx_XDECREF(__pyx_t_5);
__Pyx_XDECREF(__pyx_t_6);
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__Pyx_XDECREF(__pyx_t_8);
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- __Pyx_XDECREF(__pyx_t_11);
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__Pyx_AddTraceback("netCDF4._get_dims", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
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return __pyx_r;
}
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int __pyx_v_ierr;
int __pyx_v_numgrps;
int __pyx_v_n;
+ int __pyx_v__grpid;
int *__pyx_v_grpids;
char __pyx_v_namstring[(NC_MAX_NAME + 1)];
PyObject *__pyx_v_groups = NULL;
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- * raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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+ /* "netCDF4.pyx":1153
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+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_inq_grps(_grpid, &numgrps, NULL)
+ * if ierr != NC_NOERR:
+ */
+ {
+ #ifdef WITH_THREAD
+ PyThreadState *_save;
+ Py_UNBLOCK_THREADS
+ #endif
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+
+ /* "netCDF4.pyx":1154
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+ * ierr = nc_inq_grps(_grpid, &numgrps, NULL) # <<<<<<<<<<<<<<
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+ * raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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+ /* "netCDF4.pyx":1153
* # get number of groups in this Group.
- * ierr = nc_inq_grps(group._grpid, &numgrps, NULL)
+ * _grpid = group._grpid
+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_inq_grps(_grpid, &numgrps, NULL)
+ * if ierr != NC_NOERR:
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+ #ifdef WITH_THREAD
+ Py_BLOCK_THREADS
+ #endif
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+ /* "netCDF4.pyx":1156
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- /* "netCDF4.pyx":1165
+ /* "netCDF4.pyx":1158
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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+ __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1158; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -19380,51 +19894,80 @@ static PyObject *__pyx_f_7netCDF4__get_grps(PyObject *__pyx_v_group) {
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}
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+ __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_5); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1158; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_groups = __pyx_t_1;
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+ /* "netCDF4.pyx":1159
* # create dictionary containing L{Group} instances for groups in this group
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* grpids = <int *>malloc(sizeof(int) * numgrps)
- * ierr = nc_inq_grps(group._grpid, NULL, grpids)
+ * with nogil:
*/
__pyx_t_3 = ((__pyx_v_numgrps > 0) != 0);
if (__pyx_t_3) {
- /* "netCDF4.pyx":1167
+ /* "netCDF4.pyx":1160
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- * if ierr != NC_NOERR:
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*/
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- /* "netCDF4.pyx":1168
+ /* "netCDF4.pyx":1161
* if numgrps > 0:
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+ * with nogil: # <<<<<<<<<<<<<<
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+ PyThreadState *_save;
+ Py_UNBLOCK_THREADS
+ #endif
+ /*try:*/ {
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+ /* "netCDF4.pyx":1162
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+ Py_BLOCK_THREADS
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}
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- * groups[name] = Group(group, name, id=grpids[n])
+ /* "netCDF4.pyx":1172
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*
*/
free(__pyx_v_grpids);
- goto __pyx_L4;
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}
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__pyx_r = __pyx_v_groups;
goto __pyx_L0;
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return __pyx_r;
}
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*
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int __pyx_v_numdims;
int __pyx_v_varid;
int __pyx_v_classp;
+ int __pyx_v_iendian;
+ int __pyx_v__grpid;
int *__pyx_v_varids;
int __pyx_v_dimids[NC_MAX_DIMS];
nc_type __pyx_v_xtype;
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char __pyx_v_namstring_cmp[(NC_MAX_NAME + 1)];
PyObject *__pyx_v_variables = NULL;
PyObject *__pyx_v_name = NULL;
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PyObject *__pyx_v_datatype = NULL;
PyObject *__pyx_v_dimensions = NULL;
PyObject *__pyx_v_grp = NULL;
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char *__pyx_t_4;
PyObject *__pyx_t_5 = NULL;
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PyObject *__pyx_t_12 = NULL;
PyObject *__pyx_t_13 = NULL;
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PyObject *__pyx_t_17 = NULL;
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}
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+ /* "netCDF4.pyx":1482
* ierr = nc_create(path, NC_SHARE | NC_CLOBBER | NC_DISKLESS , &grpid)
* else:
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}
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+ /* "netCDF4.pyx":1484
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+ __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_v_diskless); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1484; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_1) {
- /* "netCDF4.pyx":1466
+ /* "netCDF4.pyx":1485
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+ __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_v_persist); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1485; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_1) {
- /* "netCDF4.pyx":1467
+ /* "netCDF4.pyx":1486
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+ __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s_NC_DISKLESS); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1486; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_3 = PyNumber_Or(__pyx_t_6, __pyx_t_4); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1486; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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+ __pyx_t_7 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_7 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1486; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_v_ierr = nc_create(__pyx_v_path, __pyx_t_7, (&__pyx_v_grpid));
goto __pyx_L23;
}
/*else*/ {
- /* "netCDF4.pyx":1469
+ /* "netCDF4.pyx":1488
* ierr = nc_create(path, NC_WRITE | NC_SHARE | NC_NOCLOBBER | NC_DISKLESS , &grpid)
* else:
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* ierr = nc_create(path, NC_SHARE | NC_NOCLOBBER, &grpid)
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+ __pyx_t_3 = __Pyx_PyInt_From_int((NC_SHARE | NC_NOCLOBBER)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1488; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
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+ __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s_NC_DISKLESS); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1488; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_6 = PyNumber_Or(__pyx_t_3, __pyx_t_4); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1488; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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+ __pyx_t_7 = __Pyx_PyInt_As_int(__pyx_t_6); if (unlikely((__pyx_t_7 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1488; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_v_ierr = nc_create(__pyx_v_path, __pyx_t_7, (&__pyx_v_grpid));
}
@@ -21626,7 +22660,7 @@ static int __pyx_pf_7netCDF4_7Dataset___init__(struct __pyx_obj_7netCDF4_Dataset
}
/*else*/ {
- /* "netCDF4.pyx":1471
+ /* "netCDF4.pyx":1490
* ierr = nc_create(path, NC_SHARE | NC_NOCLOBBER | NC_DISKLESS , &grpid)
* else:
* ierr = nc_create(path, NC_SHARE | NC_NOCLOBBER, &grpid) # <<<<<<<<<<<<<<
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}
/*else*/ {
- /* "netCDF4.pyx":1473
+ /* "netCDF4.pyx":1492
* ierr = nc_create(path, NC_SHARE | NC_NOCLOBBER, &grpid)
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+ __pyx_t_6 = __Pyx_PyString_Format(__pyx_kp_s_mode_must_be_w_r_a_or_r_got_s, __pyx_v_mode); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1492; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1492; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_6);
__Pyx_GIVEREF(__pyx_t_6);
__pyx_t_6 = 0;
- __pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_t_4, NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1473; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_t_4, NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1492; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_Raise(__pyx_t_6, 0, 0, 0);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1473; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1492; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_L6:;
- /* "netCDF4.pyx":1474
+ /* "netCDF4.pyx":1493
* else:
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__pyx_t_1 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_1) {
- /* "netCDF4.pyx":1475
+ /* "netCDF4.pyx":1494
* raise ValueError("mode must be 'w', 'r', 'a' or 'r+', got '%s'" % mode)
* if ierr != NC_NOERR:
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*/
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PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_6);
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+ __pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_4, NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1494; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
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+ /* "netCDF4.pyx":1496
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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*/
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+ __pyx_t_6 = __pyx_f_7netCDF4__get_format(__pyx_v_grpid); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1496; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_v_self->data_model);
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__pyx_v_self->data_model = __pyx_t_6;
__pyx_t_6 = 0;
- /* "netCDF4.pyx":1480
+ /* "netCDF4.pyx":1499
* # data_model attribute used to be file_format (versions < 1.0.8), retain
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__pyx_v_self->file_format = __pyx_t_6;
__pyx_t_6 = 0;
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+ /* "netCDF4.pyx":1500
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+ __pyx_t_6 = __pyx_f_7netCDF4__get_full_format(__pyx_v_grpid); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1500; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_v_self->disk_format);
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__pyx_v_self->disk_format = __pyx_t_6;
__pyx_t_6 = 0;
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+ /* "netCDF4.pyx":1505
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*/
__pyx_v_self->_grpid = __pyx_v_grpid;
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+ /* "netCDF4.pyx":1506
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*/
__pyx_v_self->_isopen = 1;
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+ /* "netCDF4.pyx":1507
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* self.keepweakref = keepweakref
*/
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- __Pyx_GIVEREF(__pyx_kp_s__15);
+ __Pyx_INCREF(__pyx_kp_s__14);
+ __Pyx_GIVEREF(__pyx_kp_s__14);
__Pyx_GOTREF(__pyx_v_self->path);
__Pyx_DECREF(__pyx_v_self->path);
- __pyx_v_self->path = __pyx_kp_s__15;
+ __pyx_v_self->path = __pyx_kp_s__14;
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* self.path = '/'
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__Pyx_DECREF(__pyx_v_self->parent);
__pyx_v_self->parent = Py_None;
- /* "netCDF4.pyx":1490
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* self.path = '/'
* self.parent = None
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__Pyx_DECREF(__pyx_v_self->keepweakref);
__pyx_v_self->keepweakref = __pyx_v_keepweakref;
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+ __pyx_t_6 = __pyx_f_7netCDF4__get_types(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1511; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if ((likely(PyTuple_CheckExact(__pyx_t_6))) || (PyList_CheckExact(__pyx_t_6))) {
PyObject* sequence = __pyx_t_6;
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1492; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -21833,15 +22867,15 @@ static int __pyx_pf_7netCDF4_7Dataset___init__(struct __pyx_obj_7netCDF4_Dataset
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__Pyx_GOTREF(__pyx_t_4);
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__pyx_v_self->vltypes = __pyx_t_3;
__pyx_t_3 = 0;
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__pyx_v_self->variables = __pyx_t_6;
__pyx_t_6 = 0;
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}
/*else*/ {
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}
__pyx_L27:;
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return __pyx_r;
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__pyx_r = ((PyObject *)__pyx_v_self);
goto __pyx_L0;
- /* "netCDF4.pyx":1504
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return __pyx_r;
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+ __Pyx_RaiseArgtupleInvalid("__exit__", 1, 3, 3, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1525; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_newname)) != 0)) kw_args--;
else {
- __Pyx_RaiseArgtupleInvalid("renameDimension", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1641; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ __Pyx_RaiseArgtupleInvalid("renameDimension", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1661; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
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+ if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "renameDimension") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1661; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
} else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
goto __pyx_L5_argtuple_error;
@@ -24101,7 +25135,7 @@ static PyObject *__pyx_pw_7netCDF4_7Dataset_29renameDimension(PyObject *__pyx_v_
}
goto __pyx_L4_argument_unpacking_done;
__pyx_L5_argtuple_error:;
- __Pyx_RaiseArgtupleInvalid("renameDimension", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1641; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ __Pyx_RaiseArgtupleInvalid("renameDimension", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1661; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_L3_error:;
__Pyx_AddTraceback("netCDF4.Dataset.renameDimension", __pyx_clineno, __pyx_lineno, __pyx_filename);
__Pyx_RefNannyFinishContext();
@@ -24137,38 +25171,38 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_28renameDimension(struct __pyx_obj_7
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("renameDimension", 0);
- /* "netCDF4.pyx":1647
+ /* "netCDF4.pyx":1667
* rename a L{Dimension} named C{oldname} to C{newname}."""
* cdef char *namstring
* bytestr = _strencode(newname) # <<<<<<<<<<<<<<
* namstring = bytestr
* if self.data_model != 'NETCDF4': self._redef()
*/
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+ __pyx_t_1 = __pyx_f_7netCDF4__strencode(__pyx_v_newname, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1667; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_v_bytestr = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4.pyx":1648
+ /* "netCDF4.pyx":1668
* cdef char *namstring
* bytestr = _strencode(newname)
* namstring = bytestr # <<<<<<<<<<<<<<
* if self.data_model != 'NETCDF4': self._redef()
* try:
*/
- __pyx_t_2 = __Pyx_PyObject_AsString(__pyx_v_bytestr); if (unlikely((!__pyx_t_2) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = __Pyx_PyObject_AsString(__pyx_v_bytestr); if (unlikely((!__pyx_t_2) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1668; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_namstring = __pyx_t_2;
- /* "netCDF4.pyx":1649
+ /* "netCDF4.pyx":1669
* bytestr = _strencode(newname)
* namstring = bytestr
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- __pyx_t_3 = (__Pyx_PyString_Equals(__pyx_v_self->data_model, __pyx_n_s_NETCDF4, Py_NE)); if (unlikely(__pyx_t_3 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1649; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = (__Pyx_PyString_Equals(__pyx_v_self->data_model, __pyx_n_s_NETCDF4, Py_NE)); if (unlikely(__pyx_t_3 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1669; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_3) {
- __pyx_t_4 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_redef); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1649; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_4 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_redef); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1669; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -24181,10 +25215,10 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_28renameDimension(struct __pyx_obj_7
}
}
if (__pyx_t_5) {
- __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1649; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1669; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
} else {
- __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_4); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1649; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_4); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1669; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
@@ -24193,7 +25227,7 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_28renameDimension(struct __pyx_obj_7
}
__pyx_L3:;
- /* "netCDF4.pyx":1650
+ /* "netCDF4.pyx":1670
* namstring = bytestr
* if self.data_model != 'NETCDF4': self._redef()
* try: # <<<<<<<<<<<<<<
@@ -24207,14 +25241,14 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_28renameDimension(struct __pyx_obj_7
__Pyx_XGOTREF(__pyx_t_8);
/*try:*/ {
- /* "netCDF4.pyx":1651
+ /* "netCDF4.pyx":1671
* if self.data_model != 'NETCDF4': self._redef()
* try:
* dim = self.dimensions[oldname] # <<<<<<<<<<<<<<
* except KeyError:
* raise KeyError('%s not a valid dimension name' % oldname)
*/
- __pyx_t_1 = PyObject_GetItem(__pyx_v_self->dimensions, __pyx_v_oldname); if (unlikely(__pyx_t_1 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1651; __pyx_clineno = __LINE__; goto __pyx_L4_error;};
+ __pyx_t_1 = PyObject_GetItem(__pyx_v_self->dimensions, __pyx_v_oldname); if (unlikely(__pyx_t_1 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1671; __pyx_clineno = __LINE__; goto __pyx_L4_error;};
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__pyx_v_dim = __pyx_t_1;
__pyx_t_1 = 0;
@@ -24228,7 +25262,7 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_28renameDimension(struct __pyx_obj_7
__Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
- /* "netCDF4.pyx":1652
+ /* "netCDF4.pyx":1672
* try:
* dim = self.dimensions[oldname]
* except KeyError: # <<<<<<<<<<<<<<
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__pyx_t_9 = PyErr_ExceptionMatches(__pyx_builtin_KeyError);
if (__pyx_t_9) {
__Pyx_AddTraceback("netCDF4.Dataset.renameDimension", __pyx_clineno, __pyx_lineno, __pyx_filename);
- if (__Pyx_GetException(&__pyx_t_1, &__pyx_t_4, &__pyx_t_5) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1652; __pyx_clineno = __LINE__; goto __pyx_L6_except_error;}
+ if (__Pyx_GetException(&__pyx_t_1, &__pyx_t_4, &__pyx_t_5) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1672; __pyx_clineno = __LINE__; goto __pyx_L6_except_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_t_4);
__Pyx_GOTREF(__pyx_t_5);
- /* "netCDF4.pyx":1653
+ /* "netCDF4.pyx":1673
* dim = self.dimensions[oldname]
* except KeyError:
* raise KeyError('%s not a valid dimension name' % oldname) # <<<<<<<<<<<<<<
* ierr = nc_rename_dim(self._grpid, dim._dimid, namstring)
* if self.data_model != 'NETCDF4': self._enddef()
*/
- __pyx_t_10 = __Pyx_PyString_Format(__pyx_kp_s_s_not_a_valid_dimension_name, __pyx_v_oldname); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1653; __pyx_clineno = __LINE__; goto __pyx_L6_except_error;}
+ __pyx_t_10 = __Pyx_PyString_Format(__pyx_kp_s_s_not_a_valid_dimension_name, __pyx_v_oldname); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1673; __pyx_clineno = __LINE__; goto __pyx_L6_except_error;}
__Pyx_GOTREF(__pyx_t_10);
- __pyx_t_11 = PyTuple_New(1); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1653; __pyx_clineno = __LINE__; goto __pyx_L6_except_error;}
+ __pyx_t_11 = PyTuple_New(1); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1673; __pyx_clineno = __LINE__; goto __pyx_L6_except_error;}
__Pyx_GOTREF(__pyx_t_11);
PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_t_10);
__Pyx_GIVEREF(__pyx_t_10);
__pyx_t_10 = 0;
- __pyx_t_10 = __Pyx_PyObject_Call(__pyx_builtin_KeyError, __pyx_t_11, NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1653; __pyx_clineno = __LINE__; goto __pyx_L6_except_error;}
+ __pyx_t_10 = __Pyx_PyObject_Call(__pyx_builtin_KeyError, __pyx_t_11, NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1673; __pyx_clineno = __LINE__; goto __pyx_L6_except_error;}
__Pyx_GOTREF(__pyx_t_10);
__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
__Pyx_Raise(__pyx_t_10, 0, 0, 0);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1653; __pyx_clineno = __LINE__; goto __pyx_L6_except_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1673; __pyx_clineno = __LINE__; goto __pyx_L6_except_error;}
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@@ -24274,29 +25308,29 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_28renameDimension(struct __pyx_obj_7
__pyx_L11_try_end:;
}
- /* "netCDF4.pyx":1654
+ /* "netCDF4.pyx":1674
* except KeyError:
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+ __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_dim, __pyx_n_s_dimid); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1674; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_9 = __Pyx_PyInt_As_int(__pyx_t_5); if (unlikely((__pyx_t_9 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1674; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_ierr = nc_rename_dim(__pyx_v_self->_grpid, __pyx_t_9, __pyx_v_namstring);
- /* "netCDF4.pyx":1655
+ /* "netCDF4.pyx":1675
* raise KeyError('%s not a valid dimension name' % oldname)
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* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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+ __pyx_t_3 = (__Pyx_PyString_Equals(__pyx_v_self->data_model, __pyx_n_s_NETCDF4, Py_NE)); if (unlikely(__pyx_t_3 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1675; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_3) {
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+ __pyx_t_4 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_enddef); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1675; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (CYTHON_COMPILING_IN_CPYTHON && likely(PyMethod_Check(__pyx_t_4))) {
@@ -24309,10 +25343,10 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_28renameDimension(struct __pyx_obj_7
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+ __pyx_t_5 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1675; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ __pyx_t_5 = __Pyx_PyObject_CallNoArg(__pyx_t_4); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1675; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
@@ -24321,7 +25355,7 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_28renameDimension(struct __pyx_obj_7
}
__pyx_L14:;
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* ierr = nc_rename_dim(self._grpid, dim._dimid, namstring)
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if (__pyx_t_3) {
- /* "netCDF4.pyx":1657
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* if self.data_model != 'NETCDF4': self._enddef()
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+ __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1677; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self->dimensions, __pyx_n_s_pop); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1679; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -24375,32 +25409,32 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_28renameDimension(struct __pyx_obj_7
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+ __pyx_t_5 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_v_oldname); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1679; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_10 = PyTuple_New(1+1); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1679; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __pyx_t_1 = NULL;
__Pyx_INCREF(__pyx_v_oldname);
PyTuple_SET_ITEM(__pyx_t_10, 0+1, __pyx_v_oldname);
__Pyx_GIVEREF(__pyx_v_oldname);
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+ __pyx_t_5 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_10, NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1679; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
- /* "netCDF4.pyx":1661
+ /* "netCDF4.pyx":1681
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* # Variable.dimensions is determined by a method that
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- if (unlikely(PyObject_SetItem(__pyx_v_self->dimensions, __pyx_v_newname, __pyx_v_dim) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1661; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (unlikely(PyObject_SetItem(__pyx_v_self->dimensions, __pyx_v_newname, __pyx_v_dim) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1681; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4.pyx":1641
+ /* "netCDF4.pyx":1661
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return __pyx_r;
}
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case 1:
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_datatype_name)) != 0)) kw_args--;
else {
- __Pyx_RaiseArgtupleInvalid("createCompoundType", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1665; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ __Pyx_RaiseArgtupleInvalid("createCompoundType", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1685; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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if (unlikely(kw_args > 0)) {
- if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "createCompoundType") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1665; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "createCompoundType") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1685; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
} else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
goto __pyx_L5_argtuple_error;
@@ -24484,7 +25518,7 @@ static PyObject *__pyx_pw_7netCDF4_7Dataset_31createCompoundType(PyObject *__pyx
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goto __pyx_L4_argument_unpacking_done;
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- __Pyx_RaiseArgtupleInvalid("createCompoundType", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1665; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ __Pyx_RaiseArgtupleInvalid("createCompoundType", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1685; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__Pyx_RefNannySetupContext("createCompoundType", 0);
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+ __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1699; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(((PyObject *)__pyx_v_self));
PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_v_self));
@@ -24525,13 +25559,13 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_30createCompoundType(struct __pyx_ob
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PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_v_datatype_name);
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+ __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)((PyObject*)__pyx_ptype_7netCDF4_CompoundType)), __pyx_t_1, NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1699; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ if (unlikely(PyObject_SetItem(__pyx_v_self->cmptypes, __pyx_v_datatype_name, __pyx_t_2) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1699; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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__Pyx_XDECREF(__pyx_r);
- __pyx_t_2 = PyObject_GetItem(__pyx_v_self->cmptypes, __pyx_v_datatype_name); if (unlikely(__pyx_t_2 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1681; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
+ __pyx_t_2 = PyObject_GetItem(__pyx_v_self->cmptypes, __pyx_v_datatype_name); if (unlikely(__pyx_t_2 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1701; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
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return __pyx_r;
}
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else {
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+ __Pyx_RaiseArgtupleInvalid("createVLType", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1703; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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+ if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "createVLType") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1703; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
} else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
goto __pyx_L5_argtuple_error;
@@ -24622,7 +25656,7 @@ static PyObject *__pyx_pw_7netCDF4_7Dataset_33createVLType(PyObject *__pyx_v_sel
}
goto __pyx_L4_argument_unpacking_done;
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+ __Pyx_RaiseArgtupleInvalid("createVLType", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1703; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__Pyx_RefNannyFinishContext();
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+ __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1712; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_v_self));
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PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_v_datatype_name);
__Pyx_GIVEREF(__pyx_v_datatype_name);
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+ __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)((PyObject*)__pyx_ptype_7netCDF4_VLType)), __pyx_t_1, NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1712; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ if (unlikely(PyObject_SetItem(__pyx_v_self->vltypes, __pyx_v_datatype_name, __pyx_t_2) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1712; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
- /* "netCDF4.pyx":1693
+ /* "netCDF4.pyx":1713
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__Pyx_XDECREF(__pyx_r);
- __pyx_t_2 = PyObject_GetItem(__pyx_v_self->vltypes, __pyx_v_datatype_name); if (unlikely(__pyx_t_2 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1693; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
+ __pyx_t_2 = PyObject_GetItem(__pyx_v_self->vltypes, __pyx_v_datatype_name); if (unlikely(__pyx_t_2 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1713; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
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__pyx_r = __pyx_t_2;
__pyx_t_2 = 0;
goto __pyx_L0;
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+ /* "netCDF4.pyx":1703
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return __pyx_r;
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values[3] = ((PyObject *)Py_False);
values[4] = ((PyObject *)__pyx_int_4);
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values[6] = ((PyObject *)Py_False);
values[7] = ((PyObject *)Py_False);
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+ /* "netCDF4.pyx":1717
* def createVariable(self, varname, datatype, dimensions=(), zlib=False,
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values[9] = ((PyObject *)__pyx_n_s_native);
values[10] = ((PyObject *)Py_None);
- /* "netCDF4.pyx":1698
+ /* "netCDF4.pyx":1718
* complevel=4, shuffle=True, fletcher32=False, contiguous=False,
* chunksizes=None, endian='native', least_significant_digit=None,
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else {
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+ __Pyx_RaiseArgtupleInvalid("createVariable", 0, 2, 13, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1715; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 2:
if (kw_args > 0) {
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}
}
if (unlikely(kw_args > 0)) {
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+ if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "createVariable") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1715; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
} else {
switch (PyTuple_GET_SIZE(__pyx_args)) {
@@ -24896,7 +25930,7 @@ static PyObject *__pyx_pw_7netCDF4_7Dataset_35createVariable(PyObject *__pyx_v_s
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+ __Pyx_RaiseArgtupleInvalid("createVariable", 0, 2, 13, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1715; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_L3_error:;
__Pyx_AddTraceback("netCDF4.Dataset.createVariable", __pyx_clineno, __pyx_lineno, __pyx_filename);
__Pyx_RefNannyFinishContext();
@@ -24904,7 +25938,7 @@ static PyObject *__pyx_pw_7netCDF4_7Dataset_35createVariable(PyObject *__pyx_v_s
__pyx_L4_argument_unpacking_done:;
__pyx_r = __pyx_pf_7netCDF4_7Dataset_34createVariable(((struct __pyx_obj_7netCDF4_Dataset *)__pyx_v_self), __pyx_v_varname, __pyx_v_datatype, __pyx_v_dimensions, __pyx_v_zlib, __pyx_v_complevel, __pyx_v_shuffle, __pyx_v_fletcher32, __pyx_v_contiguous, __pyx_v_chunksizes, __pyx_v_endian, __pyx_v_least_significant_digit, __pyx_v_fill_value, __pyx_v_chunk_cache);
- /* "netCDF4.pyx":1695
+ /* "netCDF4.pyx":1715
* return self.vltypes[datatype_name]
*
* def createVariable(self, varname, datatype, dimensions=(), zlib=False, # <<<<<<<<<<<<<<
@@ -24928,14 +25962,14 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_34createVariable(struct __pyx_obj_7n
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("createVariable", 0);
- /* "netCDF4.pyx":1813
+ /* "netCDF4.pyx":1833
* instance. If C{None}, the data is not truncated. The C{ndim} attribute
* is the number of variable dimensions."""
* self.variables[varname] = Variable(self, varname, datatype, # <<<<<<<<<<<<<<
* dimensions=dimensions, zlib=zlib, complevel=complevel, shuffle=shuffle,
* fletcher32=fletcher32, contiguous=contiguous, chunksizes=chunksizes,
*/
- __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_INCREF(((PyObject *)__pyx_v_self));
PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_v_self));
@@ -24946,67 +25980,67 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_34createVariable(struct __pyx_obj_7n
__Pyx_INCREF(__pyx_v_datatype);
PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_v_datatype);
__Pyx_GIVEREF(__pyx_v_datatype);
- __pyx_t_2 = PyDict_New(); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = PyDict_New(); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
- /* "netCDF4.pyx":1814
+ /* "netCDF4.pyx":1834
* is the number of variable dimensions."""
* self.variables[varname] = Variable(self, varname, datatype,
* dimensions=dimensions, zlib=zlib, complevel=complevel, shuffle=shuffle, # <<<<<<<<<<<<<<
* fletcher32=fletcher32, contiguous=contiguous, chunksizes=chunksizes,
* endian=endian, least_significant_digit=least_significant_digit,
*/
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_dimensions, __pyx_v_dimensions) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_zlib, __pyx_v_zlib) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_complevel, __pyx_v_complevel) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_shuffle, __pyx_v_shuffle) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_dimensions, __pyx_v_dimensions) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_zlib, __pyx_v_zlib) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_complevel, __pyx_v_complevel) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_shuffle, __pyx_v_shuffle) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4.pyx":1815
+ /* "netCDF4.pyx":1835
* self.variables[varname] = Variable(self, varname, datatype,
* dimensions=dimensions, zlib=zlib, complevel=complevel, shuffle=shuffle,
* fletcher32=fletcher32, contiguous=contiguous, chunksizes=chunksizes, # <<<<<<<<<<<<<<
* endian=endian, least_significant_digit=least_significant_digit,
* fill_value=fill_value, chunk_cache=chunk_cache)
*/
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_fletcher32, __pyx_v_fletcher32) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_contiguous, __pyx_v_contiguous) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_chunksizes, __pyx_v_chunksizes) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_fletcher32, __pyx_v_fletcher32) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_contiguous, __pyx_v_contiguous) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_chunksizes, __pyx_v_chunksizes) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4.pyx":1816
+ /* "netCDF4.pyx":1836
* dimensions=dimensions, zlib=zlib, complevel=complevel, shuffle=shuffle,
* fletcher32=fletcher32, contiguous=contiguous, chunksizes=chunksizes,
* endian=endian, least_significant_digit=least_significant_digit, # <<<<<<<<<<<<<<
* fill_value=fill_value, chunk_cache=chunk_cache)
* return self.variables[varname]
*/
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_endian, __pyx_v_endian) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_least_significant_digit, __pyx_v_least_significant_digit) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_endian, __pyx_v_endian) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_least_significant_digit, __pyx_v_least_significant_digit) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4.pyx":1817
+ /* "netCDF4.pyx":1837
* fletcher32=fletcher32, contiguous=contiguous, chunksizes=chunksizes,
* endian=endian, least_significant_digit=least_significant_digit,
* fill_value=fill_value, chunk_cache=chunk_cache) # <<<<<<<<<<<<<<
* return self.variables[varname]
*
*/
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_fill_value, __pyx_v_fill_value) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_chunk_cache, __pyx_v_chunk_cache) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_fill_value, __pyx_v_fill_value) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_chunk_cache, __pyx_v_chunk_cache) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4.pyx":1813
+ /* "netCDF4.pyx":1833
* instance. If C{None}, the data is not truncated. The C{ndim} attribute
* is the number of variable dimensions."""
* self.variables[varname] = Variable(self, varname, datatype, # <<<<<<<<<<<<<<
* dimensions=dimensions, zlib=zlib, complevel=complevel, shuffle=shuffle,
* fletcher32=fletcher32, contiguous=contiguous, chunksizes=chunksizes,
*/
- __pyx_t_3 = __Pyx_PyObject_Call(((PyObject *)((PyObject*)__pyx_ptype_7netCDF4_Variable)), __pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = __Pyx_PyObject_Call(((PyObject *)((PyObject*)__pyx_ptype_7netCDF4_Variable)), __pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
- if (unlikely(PyObject_SetItem(__pyx_v_self->variables, __pyx_v_varname, __pyx_t_3) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (unlikely(PyObject_SetItem(__pyx_v_self->variables, __pyx_v_varname, __pyx_t_3) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
- /* "netCDF4.pyx":1818
+ /* "netCDF4.pyx":1838
* endian=endian, least_significant_digit=least_significant_digit,
* fill_value=fill_value, chunk_cache=chunk_cache)
* return self.variables[varname] # <<<<<<<<<<<<<<
@@ -25014,13 +26048,13 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_34createVariable(struct __pyx_obj_7n
* def renameVariable(self, oldname, newname):
*/
__Pyx_XDECREF(__pyx_r);
- __pyx_t_3 = PyObject_GetItem(__pyx_v_self->variables, __pyx_v_varname); if (unlikely(__pyx_t_3 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1818; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
+ __pyx_t_3 = PyObject_GetItem(__pyx_v_self->variables, __pyx_v_varname); if (unlikely(__pyx_t_3 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1838; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
__Pyx_GOTREF(__pyx_t_3);
__pyx_r = __pyx_t_3;
__pyx_t_3 = 0;
goto __pyx_L0;
- /* "netCDF4.pyx":1695
+ /* "netCDF4.pyx":1715
* return self.vltypes[datatype_name]
*
* def createVariable(self, varname, datatype, dimensions=(), zlib=False, # <<<<<<<<<<<<<<
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return __pyx_r;
}
-/* "netCDF4.pyx":1820
+/* "netCDF4.pyx":1840
* return self.variables[varname]
*
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case 1:
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_newname)) != 0)) kw_args--;
else {
- __Pyx_RaiseArgtupleInvalid("renameVariable", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1820; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ __Pyx_RaiseArgtupleInvalid("renameVariable", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1840; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
}
if (unlikely(kw_args > 0)) {
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+ if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "renameVariable") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1840; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
} else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
goto __pyx_L5_argtuple_error;
@@ -25098,7 +26132,7 @@ static PyObject *__pyx_pw_7netCDF4_7Dataset_37renameVariable(PyObject *__pyx_v_s
}
goto __pyx_L4_argument_unpacking_done;
__pyx_L5_argtuple_error:;
- __Pyx_RaiseArgtupleInvalid("renameVariable", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1820; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ __Pyx_RaiseArgtupleInvalid("renameVariable", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1840; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_L3_error:;
__Pyx_AddTraceback("netCDF4.Dataset.renameVariable", __pyx_clineno, __pyx_lineno, __pyx_filename);
__Pyx_RefNannyFinishContext();
@@ -25134,7 +26168,7 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_36renameVariable(struct __pyx_obj_7n
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("renameVariable", 0);
- /* "netCDF4.pyx":1826
+ /* "netCDF4.pyx":1846
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* cdef char *namstring
* try: # <<<<<<<<<<<<<<
@@ -25148,14 +26182,14 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_36renameVariable(struct __pyx_obj_7n
__Pyx_XGOTREF(__pyx_t_3);
/*try:*/ {
- /* "netCDF4.pyx":1827
+ /* "netCDF4.pyx":1847
* cdef char *namstring
* try:
* var = self.variables[oldname] # <<<<<<<<<<<<<<
* except KeyError:
* raise KeyError('%s not a valid variable name' % oldname)
*/
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+ __pyx_t_4 = PyObject_GetItem(__pyx_v_self->variables, __pyx_v_oldname); if (unlikely(__pyx_t_4 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1847; __pyx_clineno = __LINE__; goto __pyx_L3_error;};
__Pyx_GOTREF(__pyx_t_4);
__pyx_v_var = __pyx_t_4;
__pyx_t_4 = 0;
@@ -25167,7 +26201,7 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_36renameVariable(struct __pyx_obj_7n
__pyx_L3_error:;
__Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
- /* "netCDF4.pyx":1828
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* var = self.variables[oldname]
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if (__pyx_t_5) {
__Pyx_AddTraceback("netCDF4.Dataset.renameVariable", __pyx_clineno, __pyx_lineno, __pyx_filename);
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+ if (__Pyx_GetException(&__pyx_t_4, &__pyx_t_6, &__pyx_t_7) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1848; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_GOTREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_t_7);
- /* "netCDF4.pyx":1829
+ /* "netCDF4.pyx":1849
* var = self.variables[oldname]
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* bytestr = _strencode(newname)
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+ __pyx_t_8 = __Pyx_PyString_Format(__pyx_kp_s_s_not_a_valid_variable_name, __pyx_v_oldname); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1849; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;}
__Pyx_GOTREF(__pyx_t_8);
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+ __pyx_t_9 = PyTuple_New(1); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1849; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;}
__Pyx_GOTREF(__pyx_t_9);
PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_8);
__Pyx_GIVEREF(__pyx_t_8);
__pyx_t_8 = 0;
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+ __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_KeyError, __pyx_t_9, NULL); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1849; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;}
__Pyx_GOTREF(__pyx_t_8);
__Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
__Pyx_Raise(__pyx_t_8, 0, 0, 0);
__Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1829; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1849; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;}
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goto __pyx_L5_except_error;
__pyx_L5_except_error:;
@@ -25213,38 +26247,38 @@ static PyObject *__pyx_pf_7netCDF4_7Dataset_36renameVariable(struct __pyx_obj_7n
__pyx_L10_try_end:;
}
- /* "netCDF4.pyx":1830
+ /* "netCDF4.pyx":1850
* except KeyError:
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* bytestr = _strencode(newname) # <<<<<<<<<<<<<<
* namstring = bytestr
* if self.data_model != 'NETCDF4': self._redef()
*/
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+ __pyx_t_7 = __pyx_f_7netCDF4__strencode(__pyx_v_newname, NULL); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1850; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
- __pyx_t_8 = __Pyx_PyList_Append(__pyx_v_values, __pyx_t_3); if (unlikely(__pyx_t_8 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1938; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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+ __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1959; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_9 = __Pyx_GetModuleGlobalName(__pyx_n_s_zip); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1959; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
}
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+ __pyx_t_11 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1959; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_t_10); __Pyx_GIVEREF(__pyx_t_10); __pyx_t_10 = NULL;
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PyTuple_SET_ITEM(__pyx_t_11, 1+__pyx_t_6, __pyx_v_values);
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__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
__Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
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+ __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_5); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1959; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyTuple_SET_ITEM(__pyx_t_11, 0+1, __pyx_t_5);
__Pyx_GIVEREF(__pyx_t_5);
__pyx_t_5 = 0;
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+ __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_11, NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1959; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_Raise(__pyx_builtin_AttributeError, 0, 0, 0);
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1941; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
}
- /* "netCDF4.pyx":1942
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+ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_private_atts); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1962; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
/*else*/ {
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PyTuple_SET_ITEM(__pyx_t_5, 0+1, __pyx_v_name);
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goto __pyx_L0;
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__Pyx_GIVEREF(__pyx_t_1);
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__pyx_v_self->__pyx_base.file_format = __pyx_t_1;
__pyx_t_1 = 0;
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__pyx_t_5 = 1;
}
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PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); __pyx_t_4 = NULL;
@@ -30001,7 +31035,7 @@ static int __pyx_pf_7netCDF4_5Group___init__(struct __pyx_obj_7netCDF4_Group *__
PyTuple_SET_ITEM(__pyx_t_6, 1+__pyx_t_5, __pyx_v_name);
__Pyx_GIVEREF(__pyx_v_name);
__pyx_t_2 = 0;
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__pyx_v_self->__pyx_base.path = __pyx_t_1;
__pyx_t_1 = 0;
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+ /* "netCDF4.pyx":2127
* self.path = posixpath.join(parent.path, name)
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__Pyx_DECREF(__pyx_v_self->__pyx_base.parent);
__pyx_v_self->__pyx_base.parent = __pyx_v_parent;
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+ /* "netCDF4.pyx":2129
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_parent, __pyx_n_s_keepweakref); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2129; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_v_self->__pyx_base.keepweakref);
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__pyx_v_self->__pyx_base.keepweakref = __pyx_t_1;
__pyx_t_1 = 0;
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+ /* "netCDF4.pyx":2130
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__pyx_t_8 = (__pyx_t_7 != 0);
if (__pyx_t_8) {
- /* "netCDF4.pyx":2111
+ /* "netCDF4.pyx":2131
* self.keepweakref = parent.keepweakref
* if 'id' in kwargs:
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+ __pyx_t_1 = __Pyx_PyDict_GetItem(__pyx_v_kwargs, __pyx_n_s_id); if (unlikely(__pyx_t_1 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2131; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
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+ __pyx_t_9 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_9 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2131; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4.pyx":2133
* self._grpid = kwargs['id']
* # get compound and vlen types in this Group.
* self.cmptypes, self.vltypes = _get_types(self) # <<<<<<<<<<<<<<
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+ __pyx_t_1 = __pyx_f_7netCDF4__get_types(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2133; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyObject* sequence = __pyx_t_1;
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if (unlikely(size != 2)) {
if (size > 2) __Pyx_RaiseTooManyValuesError(2);
else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2113; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -30095,15 +31129,15 @@ static int __pyx_pf_7netCDF4_5Group___init__(struct __pyx_obj_7netCDF4_Group *__
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+ __pyx_t_2 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2133; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ if (__Pyx_IternextUnpackEndCheck(__pyx_t_10(__pyx_t_2), 2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2133; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_self->__pyx_base.vltypes = __pyx_t_6;
__pyx_t_6 = 0;
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+ /* "netCDF4.pyx":2135
* self.cmptypes, self.vltypes = _get_types(self)
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+ __pyx_t_1 = __pyx_f_7netCDF4__get_dims(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2135; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_v_self->__pyx_base.dimensions);
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__pyx_v_self->__pyx_base.dimensions = __pyx_t_1;
__pyx_t_1 = 0;
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__Pyx_GIVEREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_v_self->__pyx_base.variables);
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__Pyx_GIVEREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_v_self->__pyx_base.groups);
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}
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return __pyx_r;
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}
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char __pyx_v_namstring[(NC_MAX_NAME + 1)];
int __pyx_v_ierr;
PyObject *__pyx_r = NULL;
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goto __pyx_L0;
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+ Py_BLOCK_THREADS
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}
- /* "netCDF4.pyx":2281
+ /* "netCDF4.pyx":2306
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* unlimdim_ids = [] # <<<<<<<<<<<<<<
* for n from 0 <= n < numunlimdims:
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*/
- __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2281; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2306; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_unlimdim_ids = ((PyObject*)__pyx_t_3);
__pyx_t_3 = 0;
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+ /* "netCDF4.pyx":2307
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*/
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}
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}
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+ * if self._dimid == xdimid:
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+ PyThreadState *_save;
+ Py_UNBLOCK_THREADS
+ #endif
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*/
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+ __pyx_v_ierr = nc_inq(__pyx_v_self->_grpid, (&__pyx_v_ndims), (&__pyx_v_nvars), (&__pyx_v_ngatts), (&__pyx_v_xdimid));
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+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_inq(self._grpid, &ndims, &nvars, &ngatts, &xdimid)
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+ Py_BLOCK_THREADS
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if (__pyx_t_7) {
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}
/*else*/ {
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}
}
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return __pyx_r;
}
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int __pyx_clineno = 0;
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int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("__set__", 0);
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return __pyx_r;
}
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return __pyx_r;
}
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values[4] = ((PyObject *)Py_False);
values[5] = ((PyObject *)__pyx_int_4);
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values[8] = ((PyObject *)Py_False);
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values[9] = ((PyObject *)Py_None);
values[10] = ((PyObject *)__pyx_n_s_native);
values[11] = ((PyObject *)Py_None);
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- * cdef int ierr, ndims, icontiguous, ideflate_level, numdims
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*/
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+ __Pyx_RaiseArgtupleInvalid("__init__", 0, 3, 14, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2457; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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* # check validity of datatype.
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__Pyx_DECREF(__pyx_v_self->_isprimitive);
__pyx_v_self->_isprimitive = Py_False;
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__Pyx_DECREF(__pyx_v_self->_iscompound);
__pyx_v_self->_iscompound = Py_False;
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__Pyx_DECREF(__pyx_v_self->_isvlen);
__pyx_v_self->_isvlen = Py_False;
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if (!__pyx_t_8) {
} else {
__pyx_t_2 = __pyx_t_8;
- goto __pyx_L27_bool_binop_done;
+ goto __pyx_L30_bool_binop_done;
}
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+ /* "netCDF4.pyx":2515
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__pyx_t_8 = __Pyx_TypeCheck(__pyx_v_datatype, ((PyObject*)__pyx_ptype_7netCDF4_VLType));
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if (!__pyx_t_1) {
} else {
__pyx_t_2 = __pyx_t_1;
- goto __pyx_L27_bool_binop_done;
+ goto __pyx_L30_bool_binop_done;
}
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_2 = __pyx_t_1;
- __pyx_L27_bool_binop_done:;
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if (__pyx_t_2) {
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__pyx_t_1 = (__pyx_t_2 != 0);
if (__pyx_t_1) {
- /* "netCDF4.pyx":2488
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__Pyx_DECREF(__pyx_v_self->_iscompound);
__pyx_v_self->_iscompound = Py_True;
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__Pyx_DECREF(__pyx_v_self->_cmptype);
__pyx_v_self->_cmptype = __pyx_v_datatype;
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if (!__pyx_t_8) {
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__pyx_t_1 = __pyx_t_8;
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__Pyx_DECREF(__pyx_v_self->_isvlen);
__pyx_v_self->_isvlen = Py_True;
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__Pyx_DECREF(__pyx_v_self->_vltype);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_self->_grp);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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+ /* "netCDF4.pyx":2540
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__Pyx_DECREF(__pyx_v_self->dtype);
__pyx_v_self->dtype = __pyx_v_datatype;
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PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_3);
__Pyx_GIVEREF(__pyx_t_3);
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__Pyx_GIVEREF(__pyx_v_datatype);
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__pyx_v_bytestr = __pyx_t_3;
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__pyx_v_varname = __pyx_t_10;
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+ __pyx_t_11 = PyObject_Length(__pyx_v_dimensions); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2548; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_ndims = __pyx_t_11;
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__Pyx_XDECREF_SET(__pyx_v_dimname, __pyx_t_3);
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+ __pyx_t_6 = __Pyx_GetModuleGlobalName(__pyx_n_s_find_dim); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2555; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
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__pyx_t_2 = __pyx_t_8;
- goto __pyx_L60_bool_binop_done;
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__Pyx_Raise(__pyx_t_3, 0, 0, 0);
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+ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__59, NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2624; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_Raise(__pyx_t_3, 0, 0, 0);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2595; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2624; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_3 = __Pyx_GetItemInt(__pyx_v_chunksizes, __pyx_v_n, long, 1, __Pyx_PyInt_From_long, 0, 1, 1); if (unlikely(__pyx_t_3 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2627; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
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}
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- __pyx_L67:;
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if (!__pyx_t_1) {
} else {
__pyx_t_2 = __pyx_t_1;
- goto __pyx_L73_bool_binop_done;
+ goto __pyx_L76_bool_binop_done;
}
- __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_v_contiguous); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2599; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_2 = __pyx_t_1;
- __pyx_L73_bool_binop_done:;
+ __pyx_L76_bool_binop_done:;
if (__pyx_t_2) {
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+ /* "netCDF4.pyx":2629
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- /* "netCDF4.pyx":2601
+ /* "netCDF4.pyx":2630
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*/
free(__pyx_v_chunksizesp);
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+ /* "netCDF4.pyx":2631
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__pyx_t_2 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_2) {
- /* "netCDF4.pyx":2603
+ /* "netCDF4.pyx":2632
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+ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_data_model_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_t_2 = (__Pyx_PyString_Equals(__pyx_t_3, __pyx_n_s_NETCDF4, Py_NE)); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2603; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_enddef); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -34953,19 +36185,19 @@ static int __pyx_pf_7netCDF4_8Variable___init__(struct __pyx_obj_7netCDF4_Variab
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+ __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_6, __pyx_t_7); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_3 = __Pyx_PyObject_CallNoArg(__pyx_t_6); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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+ __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_3);
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+ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_6, NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
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*/
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+ __pyx_t_2 = (__Pyx_PyString_Equals(__pyx_v_endian, __pyx_n_s_little, Py_EQ)); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2635; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_2) {
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+ /* "netCDF4.pyx":2636
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+ * with nogil: # <<<<<<<<<<<<<<
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+ Py_BLOCK_THREADS
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+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_inq_vardimid(self._grpid, self._varid, dimids)
+ * if ierr != NC_NOERR:
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PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_name);
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@@ -39051,7 +40491,7 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_22delncattr(struct __pyx_obj_7netCD
}
__pyx_L4:;
- /* "netCDF4.pyx":2861
+ /* "netCDF4.pyx":2897
* ierr = nc_del_att(self._grpid, self._varid, attname)
* if self._grp.data_model != 'NETCDF4': self._grp._enddef()
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@@ -39061,7 +40501,7 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_22delncattr(struct __pyx_obj_7netCD
__pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_3) {
- /* "netCDF4.pyx":2862
+ /* "netCDF4.pyx":2898
* if self._grp.data_model != 'NETCDF4': self._grp._enddef()
* if ierr != NC_NOERR:
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@@ -39069,23 +40509,23 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_22delncattr(struct __pyx_obj_7netCD
* def filters(self):
*/
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+ __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2898; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2862; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2898; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4.pyx":2884
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return __pyx_r;
}
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int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("filters", 0);
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+ * with nogil:
*/
- __pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2870; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2906; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_zlib, Py_False) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2906; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_shuffle, Py_False) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2906; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_complevel, __pyx_int_0) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2906; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_fletcher32, Py_False) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2906; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_1 = 0;
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+ /* "netCDF4.pyx":2907
* cdef int ierr,ideflate,ishuffle,ideflate_level,ifletcher32
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- * if ierr != NC_NOERR:
+ * with nogil:
+ * ierr = nc_inq_var_deflate(self._grpid, self._varid, &ishuffle, &ideflate, &ideflate_level)
*/
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if (__pyx_t_3) {
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__pyx_t_2 = __pyx_t_3;
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@@ -39192,61 +40632,127 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_24filters(struct __pyx_obj_7netCDF4
goto __pyx_L0;
}
- /* "netCDF4.pyx":2872
+ /* "netCDF4.pyx":2908
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* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: return
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+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_inq_var_deflate(self._grpid, self._varid, &ishuffle, &ideflate, &ideflate_level)
+ * if ierr != NC_NOERR:
+ */
+ {
+ #ifdef WITH_THREAD
+ PyThreadState *_save;
+ Py_UNBLOCK_THREADS
+ #endif
+ /*try:*/ {
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+ /* "netCDF4.pyx":2909
+ * if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: return
+ * with nogil:
+ * ierr = nc_inq_var_deflate(self._grpid, self._varid, &ishuffle, &ideflate, &ideflate_level) # <<<<<<<<<<<<<<
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*/
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+ __pyx_v_ierr = nc_inq_var_deflate(__pyx_v_self->_grpid, __pyx_v_self->_varid, (&__pyx_v_ishuffle), (&__pyx_v_ideflate), (&__pyx_v_ideflate_level));
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- /* "netCDF4.pyx":2873
+ /* "netCDF4.pyx":2908
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* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: return
- * ierr = nc_inq_var_deflate(self._grpid, self._varid, &ishuffle, &ideflate, &ideflate_level)
+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_inq_var_deflate(self._grpid, self._varid, &ishuffle, &ideflate, &ideflate_level)
+ * if ierr != NC_NOERR:
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+ /*normal exit:*/{
+ #ifdef WITH_THREAD
+ Py_BLOCK_THREADS
+ #endif
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+ }
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+ }
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+
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+ * with nogil:
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* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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+ * with nogil:
*/
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if (__pyx_t_3) {
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- * ierr = nc_inq_var_deflate(self._grpid, self._varid, &ishuffle, &ideflate, &ideflate_level)
+ /* "netCDF4.pyx":2911
+ * ierr = nc_inq_var_deflate(self._grpid, self._varid, &ishuffle, &ideflate, &ideflate_level)
* if ierr != NC_NOERR:
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- * if ierr != NC_NOERR:
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+ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2911; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
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__Pyx_Raise(__pyx_t_1, 0, 0, 0);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2874; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
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+ * with nogil: # <<<<<<<<<<<<<<
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+ PyThreadState *_save;
+ Py_UNBLOCK_THREADS
+ #endif
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*/
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- /* "netCDF4.pyx":2876
+ /* "netCDF4.pyx":2912
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* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
- * ierr = nc_inq_var_fletcher32(self._grpid, self._varid, &ifletcher32)
+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_inq_var_fletcher32(self._grpid, self._varid, &ifletcher32)
+ * if ierr != NC_NOERR:
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+ Py_BLOCK_THREADS
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__pyx_t_3 = (__pyx_v_ideflate != 0);
if (__pyx_t_3) {
- /* "netCDF4.pyx":2879
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+ if (unlikely(PyDict_SetItem(__pyx_v_filtdict, __pyx_n_s_zlib, Py_True) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2917; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_3 = (__pyx_v_ishuffle != 0);
if (__pyx_t_3) {
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- goto __pyx_L9;
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__pyx_t_3 = (__pyx_v_ifletcher32 != 0);
if (__pyx_t_3) {
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- goto __pyx_L10;
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goto __pyx_L0;
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return __pyx_r;
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int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("endian", 0);
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*/
switch (__pyx_v_iendian) {
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*/
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*/
case NC_ENDIAN_BIG:
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break;
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break;
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+ /* "netCDF4.pyx":2956
* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: return None
* ndims = self.ndim
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims) # <<<<<<<<<<<<<<
- * ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
- * if ierr != NC_NOERR:
+ * with nogil:
+ * ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
*/
__pyx_v_chunksizesp = ((size_t *)malloc(((sizeof(size_t)) * __pyx_v_ndims)));
- /* "netCDF4.pyx":2918
+ /* "netCDF4.pyx":2957
* ndims = self.ndim
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
- * ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp) # <<<<<<<<<<<<<<
+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
+ * if ierr != NC_NOERR:
+ */
+ {
+ #ifdef WITH_THREAD
+ PyThreadState *_save;
+ Py_UNBLOCK_THREADS
+ #endif
+ /*try:*/ {
+
+ /* "netCDF4.pyx":2958
+ * chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
+ * with nogil:
+ * ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp) # <<<<<<<<<<<<<<
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
*/
- __pyx_v_ierr = nc_inq_var_chunking(__pyx_v_self->_grpid, __pyx_v_self->_varid, (&__pyx_v_icontiguous), __pyx_v_chunksizesp);
+ __pyx_v_ierr = nc_inq_var_chunking(__pyx_v_self->_grpid, __pyx_v_self->_varid, (&__pyx_v_icontiguous), __pyx_v_chunksizesp);
+ }
- /* "netCDF4.pyx":2919
+ /* "netCDF4.pyx":2957
+ * ndims = self.ndim
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
- * ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
+ * if ierr != NC_NOERR:
+ */
+ /*finally:*/ {
+ /*normal exit:*/{
+ #ifdef WITH_THREAD
+ Py_BLOCK_THREADS
+ #endif
+ goto __pyx_L8;
+ }
+ __pyx_L8:;
+ }
+ }
+
+ /* "netCDF4.pyx":2959
+ * with nogil:
+ * ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* chunksizes=[]
@@ -39700,43 +41272,43 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_28chunking(struct __pyx_obj_7netCDF
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if (__pyx_t_3) {
- /* "netCDF4.pyx":2920
- * ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
+ /* "netCDF4.pyx":2960
+ * ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii')) # <<<<<<<<<<<<<<
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* for n from 0 <= n < ndims:
*/
__pyx_t_5 = ((char *)nc_strerror(__pyx_v_ierr));
- __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_5, 0, strlen(__pyx_t_5), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2920; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_5, 0, strlen(__pyx_t_5), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2960; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2920; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2960; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_INCREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_6, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2920; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_6, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2960; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_Raise(__pyx_t_1, 0, 0, 0);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2920; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2960; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
- /* "netCDF4.pyx":2921
+ /* "netCDF4.pyx":2961
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* chunksizes=[] # <<<<<<<<<<<<<<
* for n from 0 <= n < ndims:
* chunksizes.append(chunksizesp[n])
*/
- __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2921; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2961; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_v_chunksizes = ((PyObject*)__pyx_t_1);
__pyx_t_1 = 0;
- /* "netCDF4.pyx":2922
+ /* "netCDF4.pyx":2962
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* chunksizes=[]
* for n from 0 <= n < ndims: # <<<<<<<<<<<<<<
@@ -39746,20 +41318,20 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_28chunking(struct __pyx_obj_7netCDF
__pyx_t_4 = __pyx_v_ndims;
for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_4; __pyx_v_n++) {
- /* "netCDF4.pyx":2923
+ /* "netCDF4.pyx":2963
* chunksizes=[]
* for n from 0 <= n < ndims:
* chunksizes.append(chunksizesp[n]) # <<<<<<<<<<<<<<
* free(chunksizesp)
* if icontiguous:
*/
- __pyx_t_1 = __Pyx_PyInt_FromSize_t((__pyx_v_chunksizesp[__pyx_v_n])); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2923; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyInt_FromSize_t((__pyx_v_chunksizesp[__pyx_v_n])); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2963; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
- __pyx_t_7 = __Pyx_PyList_Append(__pyx_v_chunksizes, __pyx_t_1); if (unlikely(__pyx_t_7 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2923; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_7 = __Pyx_PyList_Append(__pyx_v_chunksizes, __pyx_t_1); if (unlikely(__pyx_t_7 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2963; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
}
- /* "netCDF4.pyx":2924
+ /* "netCDF4.pyx":2964
* for n from 0 <= n < ndims:
* chunksizes.append(chunksizesp[n])
* free(chunksizesp) # <<<<<<<<<<<<<<
@@ -39768,7 +41340,7 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_28chunking(struct __pyx_obj_7netCDF
*/
free(__pyx_v_chunksizesp);
- /* "netCDF4.pyx":2925
+ /* "netCDF4.pyx":2965
* chunksizes.append(chunksizesp[n])
* free(chunksizesp)
* if icontiguous: # <<<<<<<<<<<<<<
@@ -39778,7 +41350,7 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_28chunking(struct __pyx_obj_7netCDF
__pyx_t_3 = (__pyx_v_icontiguous != 0);
if (__pyx_t_3) {
- /* "netCDF4.pyx":2926
+ /* "netCDF4.pyx":2966
* free(chunksizesp)
* if icontiguous:
* return 'contiguous' # <<<<<<<<<<<<<<
@@ -39792,7 +41364,7 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_28chunking(struct __pyx_obj_7netCDF
}
/*else*/ {
- /* "netCDF4.pyx":2928
+ /* "netCDF4.pyx":2968
* return 'contiguous'
* else:
* return chunksizes # <<<<<<<<<<<<<<
@@ -39805,7 +41377,7 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_28chunking(struct __pyx_obj_7netCDF
goto __pyx_L0;
}
- /* "netCDF4.pyx":2905
+ /* "netCDF4.pyx":2944
* return 'native'
*
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@@ -39826,7 +41398,7 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_28chunking(struct __pyx_obj_7netCDF
return __pyx_r;
}
-/* "netCDF4.pyx":2930
+/* "netCDF4.pyx":2970
* return chunksizes
*
* def get_var_chunk_cache(self): # <<<<<<<<<<<<<<
@@ -39868,18 +41440,51 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_30get_var_chunk_cache(struct __pyx_
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("get_var_chunk_cache", 0);
- /* "netCDF4.pyx":2940
+ /* "netCDF4.pyx":2980
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* cdef float preemptionp
- * ierr = nc_get_var_chunk_cache(self._grpid, self._varid, &sizep, # <<<<<<<<<<<<<<
- * &nelemsp, &preemptionp)
+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_get_var_chunk_cache(self._grpid, self._varid, &sizep,
+ * &nelemsp, &preemptionp)
+ */
+ {
+ #ifdef WITH_THREAD
+ PyThreadState *_save;
+ Py_UNBLOCK_THREADS
+ #endif
+ /*try:*/ {
+
+ /* "netCDF4.pyx":2981
+ * cdef float preemptionp
+ * with nogil:
+ * ierr = nc_get_var_chunk_cache(self._grpid, self._varid, &sizep, # <<<<<<<<<<<<<<
+ * &nelemsp, &preemptionp)
* if ierr != NC_NOERR:
*/
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+ __pyx_v_ierr = nc_get_var_chunk_cache(__pyx_v_self->_grpid, __pyx_v_self->_varid, (&__pyx_v_sizep), (&__pyx_v_nelemsp), (&__pyx_v_preemptionp));
+ }
+
+ /* "netCDF4.pyx":2980
+ * cdef size_t sizep, nelemsp
+ * cdef float preemptionp
+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_get_var_chunk_cache(self._grpid, self._varid, &sizep,
+ * &nelemsp, &preemptionp)
+ */
+ /*finally:*/ {
+ /*normal exit:*/{
+ #ifdef WITH_THREAD
+ Py_BLOCK_THREADS
+ #endif
+ goto __pyx_L5;
+ }
+ __pyx_L5:;
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- * ierr = nc_get_var_chunk_cache(self._grpid, self._varid, &sizep,
- * &nelemsp, &preemptionp)
+ /* "netCDF4.pyx":2983
+ * ierr = nc_get_var_chunk_cache(self._grpid, self._varid, &sizep,
+ * &nelemsp, &preemptionp)
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if (__pyx_t_1) {
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- * &nelemsp, &preemptionp)
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* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii')) # <<<<<<<<<<<<<<
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__pyx_t_2 = ((char *)nc_strerror(__pyx_v_ierr));
- __pyx_t_3 = __Pyx_decode_c_string(__pyx_t_2, 0, strlen(__pyx_t_2), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2943; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = __Pyx_decode_c_string(__pyx_t_2, 0, strlen(__pyx_t_2), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2984; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2984; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_INCREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_3);
__Pyx_GIVEREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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+ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_4, NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2984; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_Raise(__pyx_t_3, 0, 0, 0);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2943; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
- /* "netCDF4.pyx":2944
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* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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@@ -39920,12 +41525,12 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_30get_var_chunk_cache(struct __pyx_
*/
__pyx_v_size = __pyx_v_sizep;
__pyx_v_nelems = __pyx_v_nelemsp;
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+ __pyx_t_3 = PyFloat_FromDouble(__pyx_v_preemptionp); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2985; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_v_preemption = __pyx_t_3;
__pyx_t_3 = 0;
- /* "netCDF4.pyx":2945
+ /* "netCDF4.pyx":2986
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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@@ -39933,11 +41538,11 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_30get_var_chunk_cache(struct __pyx_
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*/
__Pyx_XDECREF(__pyx_r);
- __pyx_t_3 = __Pyx_PyInt_FromSize_t(__pyx_v_size); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2945; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = __Pyx_PyInt_FromSize_t(__pyx_v_size); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2986; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
- __pyx_t_4 = __Pyx_PyInt_FromSize_t(__pyx_v_nelems); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2945; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_4 = __Pyx_PyInt_FromSize_t(__pyx_v_nelems); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2986; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
- __pyx_t_5 = PyTuple_New(3); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2945; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_5 = PyTuple_New(3); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2986; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_3);
__Pyx_GIVEREF(__pyx_t_3);
@@ -39952,7 +41557,7 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_30get_var_chunk_cache(struct __pyx_
__pyx_t_5 = 0;
goto __pyx_L0;
- /* "netCDF4.pyx":2930
+ /* "netCDF4.pyx":2970
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*
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@@ -39974,7 +41579,7 @@ static PyObject *__pyx_pf_7netCDF4_8Variable_30get_var_chunk_cache(struct __pyx_
return __pyx_r;
}
-/* "netCDF4.pyx":2947
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*
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}
}
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+ if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "set_var_chunk_cache") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2988; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
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switch (PyTuple_GET_SIZE(__pyx_args)) {
@@ -40047,7 +41652,7 @@ static PyObject *__pyx_pw_7netCDF4_8Variable_33set_var_chunk_cache(PyObject *__p
}
goto __pyx_L4_argument_unpacking_done;
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3022; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__pyx_t_8) {
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__Pyx_GIVEREF(__pyx_v_self->dtype);
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free(__pyx_v_vldata);
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}
}
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PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); __Pyx_GIVEREF(__pyx_t_8); __pyx_t_8 = NULL;
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PyTuple_SET_ITEM(__pyx_t_1, 2+__pyx_t_9, __pyx_v_offsets);
__Pyx_GIVEREF(__pyx_v_offsets);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ __pyx_t_10 = Py_TYPE(__pyx_t_6)->tp_iternext; if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3927; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_7 = PySequence_ITEM(__pyx_t_6, __pyx_t_9); __pyx_t_9++; if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3927; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_7 = PyTuple_GET_ITEM(__pyx_t_6, __pyx_t_9); __Pyx_INCREF(__pyx_t_7); __pyx_t_9++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3927; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (size > 3) __Pyx_RaiseTooManyValuesError(3);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3881; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -53789,17 +55559,17 @@ static PyObject *__pyx_f_7netCDF4__def_compound(PyObject *__pyx_v_grp, PyObject
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__Pyx_INCREF(__pyx_t_12);
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__pyx_v_offset = __pyx_t_3;
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__Pyx_DECREF_SET(__pyx_v_bytestr, __pyx_t_7);
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__Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
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int __pyx_v_ndim;
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* # get name and number of fields.
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+ PyThreadState *_save;
+ Py_UNBLOCK_THREADS
+ #endif
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+ /* "netCDF4.pyx":4017
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+ /* "netCDF4.pyx":4016
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+ Py_BLOCK_THREADS
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__Pyx_XDECREF_SET(__pyx_v_field_shape, __pyx_empty_tuple);
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{
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{&__pyx_n_s_NC_DISKLESS, __pyx_k_NC_DISKLESS, sizeof(__pyx_k_NC_DISKLESS), 0, 0, 1, 1},
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- {&__pyx_kp_s__116, __pyx_k__116, sizeof(__pyx_k__116), 0, 0, 1, 0},
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{&__pyx_kp_s__15, __pyx_k__15, sizeof(__pyx_k__15), 0, 0, 1, 0},
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- {&__pyx_kp_s__51, __pyx_k__51, sizeof(__pyx_k__51), 0, 0, 1, 0},
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{&__pyx_kp_s__52, __pyx_k__52, sizeof(__pyx_k__52), 0, 0, 1, 0},
{&__pyx_kp_s__53, __pyx_k__53, sizeof(__pyx_k__53), 0, 0, 1, 0},
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{&__pyx_n_s_a, __pyx_k_a, sizeof(__pyx_k_a), 0, 0, 1, 1},
{&__pyx_n_s_add_offset, __pyx_k_add_offset, sizeof(__pyx_k_add_offset), 0, 0, 1, 1},
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{&__pyx_kp_s_current_size_s, __pyx_k_current_size_s, sizeof(__pyx_k_current_size_s), 0, 0, 1, 0},
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{&__pyx_kp_s_d_d_d, __pyx_k_d_d_d, sizeof(__pyx_k_d_d_d), 0, 0, 1, 0},
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{&__pyx_n_s_find_dim, __pyx_k_find_dim, sizeof(__pyx_k_find_dim), 0, 0, 1, 1},
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{&__pyx_kp_s_mode_must_be_w_r_a_or_r_got_s, __pyx_k_mode_must_be_w_r_a_or_r_got_s, sizeof(__pyx_k_mode_must_be_w_r_a_or_r_got_s), 0, 0, 1, 0},
{&__pyx_n_s_module, __pyx_k_module, sizeof(__pyx_k_module), 0, 0, 1, 1},
+ {&__pyx_n_s_month, __pyx_k_month, sizeof(__pyx_k_month), 0, 0, 1, 1},
{&__pyx_n_s_msecs, __pyx_k_msecs, sizeof(__pyx_k_msecs), 0, 0, 1, 1},
{&__pyx_n_s_msecsd, __pyx_k_msecsd, sizeof(__pyx_k_msecsd), 0, 0, 1, 1},
{&__pyx_n_s_msg, __pyx_k_msg, sizeof(__pyx_k_msg), 0, 0, 1, 1},
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{&__pyx_n_s_ordereddict, __pyx_k_ordereddict, sizeof(__pyx_k_ordereddict), 0, 0, 1, 1},
{&__pyx_n_s_out_array_shape, __pyx_k_out_array_shape, sizeof(__pyx_k_out_array_shape), 0, 0, 1, 1},
{&__pyx_n_s_parent, __pyx_k_parent, sizeof(__pyx_k_parent), 0, 0, 1, 1},
- {&__pyx_n_s_parse, __pyx_k_parse, sizeof(__pyx_k_parse), 0, 0, 1, 1},
+ {&__pyx_n_s_parse_date, __pyx_k_parse_date, sizeof(__pyx_k_parse_date), 0, 0, 1, 1},
{&__pyx_n_s_part, __pyx_k_part, sizeof(__pyx_k_part), 0, 0, 1, 1},
{&__pyx_n_s_patchstring, __pyx_k_patchstring, sizeof(__pyx_k_patchstring), 0, 0, 1, 1},
{&__pyx_n_s_path, __pyx_k_path, sizeof(__pyx_k_path), 0, 0, 1, 1},
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{&__pyx_kp_s_requires_numpy_version_1_0rc1_or, __pyx_k_requires_numpy_version_1_0rc1_or, sizeof(__pyx_k_requires_numpy_version_1_0rc1_or), 0, 0, 1, 0},
{&__pyx_n_s_reshape, __pyx_k_reshape, sizeof(__pyx_k_reshape), 0, 0, 1, 1},
{&__pyx_kp_s_root_group_s_data_model_file_for, __pyx_k_root_group_s_data_model_file_for, sizeof(__pyx_k_root_group_s_data_model_file_for), 0, 0, 1, 0},
+ {&__pyx_n_s_round, __pyx_k_round, sizeof(__pyx_k_round), 0, 0, 1, 1},
{&__pyx_kp_s_s, __pyx_k_s, sizeof(__pyx_k_s), 0, 0, 1, 0},
{&__pyx_n_s_s_2, __pyx_k_s_2, sizeof(__pyx_k_s_2), 0, 0, 1, 1},
{&__pyx_kp_s_s_is_one_of_the_reserved_attrib, __pyx_k_s_is_one_of_the_reserved_attrib, sizeof(__pyx_k_s_is_one_of_the_reserved_attrib), 0, 0, 1, 0},
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{&__pyx_kp_s_string_type, __pyx_k_string_type, sizeof(__pyx_k_string_type), 0, 0, 1, 0},
{&__pyx_n_s_stringtoarr, __pyx_k_stringtoarr, sizeof(__pyx_k_stringtoarr), 0, 0, 1, 1},
{&__pyx_n_s_stringtochar, __pyx_k_stringtochar, sizeof(__pyx_k_stringtochar), 0, 0, 1, 1},
+ {&__pyx_n_s_strip, __pyx_k_strip, sizeof(__pyx_k_strip), 0, 0, 1, 1},
{&__pyx_n_s_strt, __pyx_k_strt, sizeof(__pyx_k_strt), 0, 0, 1, 1},
{&__pyx_n_s_subdtype, __pyx_k_subdtype, sizeof(__pyx_k_subdtype), 0, 0, 1, 1},
{&__pyx_n_s_sum, __pyx_k_sum, sizeof(__pyx_k_sum), 0, 0, 1, 1},
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{&__pyx_kp_s_type_must_string_or_unicode_S_or, __pyx_k_type_must_string_or_unicode_S_or, sizeof(__pyx_k_type_must_string_or_unicode_S_or), 0, 0, 1, 0},
{&__pyx_n_s_typecode, __pyx_k_typecode, sizeof(__pyx_k_typecode), 0, 0, 1, 1},
{&__pyx_n_s_typeid, __pyx_k_typeid, sizeof(__pyx_k_typeid), 0, 0, 1, 1},
- {&__pyx_n_s_tzinfo, __pyx_k_tzinfo, sizeof(__pyx_k_tzinfo), 0, 0, 1, 1},
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{&__pyx_kp_s_u, __pyx_k_u, sizeof(__pyx_k_u), 0, 0, 1, 0},
{&__pyx_n_s_u1, __pyx_k_u1, sizeof(__pyx_k_u1), 0, 0, 1, 1},
{&__pyx_n_s_u2, __pyx_k_u2, sizeof(__pyx_k_u2), 0, 0, 1, 1},
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{&__pyx_kp_s_unlimited_name_s_size_s, __pyx_k_unlimited_name_s_size_s, sizeof(__pyx_k_unlimited_name_s_size_s), 0, 0, 1, 0},
{&__pyx_kp_s_unsupported_component_type_for_V, __pyx_k_unsupported_component_type_for_V, sizeof(__pyx_k_unsupported_component_type_for_V), 0, 0, 1, 0},
{&__pyx_kp_s_unsupported_datatype_specified_f, __pyx_k_unsupported_datatype_specified_f, sizeof(__pyx_k_unsupported_datatype_specified_f), 0, 0, 1, 0},
+ {&__pyx_n_s_utc_offset, __pyx_k_utc_offset, sizeof(__pyx_k_utc_offset), 0, 0, 1, 1},
{&__pyx_kp_s_utf_8, __pyx_k_utf_8, sizeof(__pyx_k_utf_8), 0, 0, 1, 0},
{&__pyx_n_s_utime, __pyx_k_utime, sizeof(__pyx_k_utime), 0, 0, 1, 1},
{&__pyx_n_s_v, __pyx_k_v, sizeof(__pyx_k_v), 0, 0, 1, 1},
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{&__pyx_kp_s_wrong_data_type_in_object_array, __pyx_k_wrong_data_type_in_object_array, sizeof(__pyx_k_wrong_data_type_in_object_array), 0, 0, 1, 0},
{&__pyx_kp_s_wrong_data_type_should_be_s_got, __pyx_k_wrong_data_type_should_be_s_got, sizeof(__pyx_k_wrong_data_type_should_be_s_got), 0, 0, 1, 0},
{&__pyx_n_s_ws, __pyx_k_ws, sizeof(__pyx_k_ws), 0, 0, 1, 1},
+ {&__pyx_n_s_year, __pyx_k_year, sizeof(__pyx_k_year), 0, 0, 1, 1},
{&__pyx_n_s_zeros, __pyx_k_zeros, sizeof(__pyx_k_zeros), 0, 0, 1, 1},
{&__pyx_n_s_zip, __pyx_k_zip, sizeof(__pyx_k_zip), 0, 0, 1, 1},
{&__pyx_n_s_zlib, __pyx_k_zlib, sizeof(__pyx_k_zlib), 0, 0, 1, 1},
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- __pyx_builtin_object = __Pyx_GetBuiltinName(__pyx_n_s_object); if (!__pyx_builtin_object) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 569; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_builtin_IndexError = __Pyx_GetBuiltinName(__pyx_n_s_IndexError); if (!__pyx_builtin_IndexError) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 663; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_builtin_RuntimeError = __Pyx_GetBuiltinName(__pyx_n_s_RuntimeError); if (!__pyx_builtin_RuntimeError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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/* "utils.pyx":46
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@@ -59660,9 +61635,9 @@ static int __Pyx_InitCachedConstants(void) {
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/* "utils.pyx":65
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/* "utils.pyx":84
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/* "utils.pyx":88
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- /* "utils.pyx":387
+ /* "utils.pyx":382
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- __Pyx_GOTREF(__pyx_tuple__8);
- __Pyx_GIVEREF(__pyx_tuple__8);
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+ __Pyx_GOTREF(__pyx_tuple__7);
+ __Pyx_GIVEREF(__pyx_tuple__7);
- /* "utils.pyx":449
+ /* "utils.pyx":444
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- __Pyx_GOTREF(__pyx_slice__9);
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+ __Pyx_GIVEREF(__pyx_slice__8);
- /* "utils.pyx":460
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+ /* "utils.pyx":456
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+ /* "utils.pyx":473
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__Pyx_GOTREF(__pyx_slice__12);
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+ /* "utils.pyx":645
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- __Pyx_GOTREF(__pyx_slice__19);
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+ /* "utils.pyx":663
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+ /* "utils.pyx":687
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- __Pyx_GOTREF(__pyx_tuple__22);
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- __Pyx_GOTREF(__pyx_tuple__26);
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- __Pyx_GOTREF(__pyx_slice__32);
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- __Pyx_GOTREF(__pyx_slice__33);
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__Pyx_GOTREF(__pyx_tuple__47);
__Pyx_GIVEREF(__pyx_tuple__47);
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- __Pyx_GOTREF(__pyx_tuple__89);
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- __Pyx_GOTREF(__pyx_tuple__92);
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- __Pyx_GOTREF(__pyx_tuple__94);
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- __Pyx_GOTREF(__pyx_tuple__95);
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- __Pyx_GOTREF(__pyx_tuple__96);
- __Pyx_GIVEREF(__pyx_tuple__96);
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- __Pyx_GOTREF(__pyx_slice__97);
- __Pyx_GIVEREF(__pyx_slice__97);
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- __Pyx_GOTREF(__pyx_tuple__98);
- __Pyx_GIVEREF(__pyx_tuple__98);
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- __Pyx_GOTREF(__pyx_tuple__99);
- __Pyx_GIVEREF(__pyx_tuple__99);
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- __Pyx_GOTREF(__pyx_slice__104);
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- __Pyx_GOTREF(__pyx_tuple__108);
- __Pyx_GIVEREF(__pyx_tuple__108);
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* formats.append((field_type,field_shape))
*/
- __pyx_tuple__110 = PyTuple_Pack(1, __pyx_kp_s_compound_field_of_an_unsupported); if (unlikely(!__pyx_tuple__110)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4006; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__110);
- __Pyx_GIVEREF(__pyx_tuple__110);
+ __pyx_tuple__109 = PyTuple_Pack(1, __pyx_kp_s_compound_field_of_an_unsupported); if (unlikely(!__pyx_tuple__109)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4058; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__109);
+ __Pyx_GIVEREF(__pyx_tuple__109);
- /* "netCDF4.pyx":4097
+ /* "netCDF4.pyx":4149
* namstring = bytestr
* dt = numpy.dtype(dt) # convert to numpy datatype.
* if dt.str[1:] in _supportedtypes: # <<<<<<<<<<<<<<
* # find netCDF primitive data type corresponding to
* # specified numpy data type.
*/
- __pyx_slice__111 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__111)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4097; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__111);
- __Pyx_GIVEREF(__pyx_slice__111);
+ __pyx_slice__110 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__110)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4149; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_slice__110);
+ __Pyx_GIVEREF(__pyx_slice__110);
- /* "netCDF4.pyx":4100
+ /* "netCDF4.pyx":4152
* # find netCDF primitive data type corresponding to
* # specified numpy data type.
* xtype_tmp = _nptonctype[dt.str[1:]] # <<<<<<<<<<<<<<
* ierr = nc_def_vlen(grp._grpid, namstring, xtype_tmp, &xtype);
* if ierr != NC_NOERR:
*/
- __pyx_slice__112 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__112)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4100; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__112);
- __Pyx_GIVEREF(__pyx_slice__112);
+ __pyx_slice__111 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__111)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4152; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_slice__111);
+ __Pyx_GIVEREF(__pyx_slice__111);
- /* "netCDF4.pyx":4105
+ /* "netCDF4.pyx":4157
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* else:
* raise KeyError("unsupported datatype specified for VLEN") # <<<<<<<<<<<<<<
* return xtype, dt
*
*/
- __pyx_tuple__113 = PyTuple_Pack(1, __pyx_kp_s_unsupported_datatype_specified_f); if (unlikely(!__pyx_tuple__113)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4105; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__113);
- __Pyx_GIVEREF(__pyx_tuple__113);
+ __pyx_tuple__112 = PyTuple_Pack(1, __pyx_kp_s_unsupported_datatype_specified_f); if (unlikely(!__pyx_tuple__112)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4157; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__112);
+ __Pyx_GIVEREF(__pyx_tuple__112);
- /* "netCDF4.pyx":4128
- * dt = numpy.dtype(_nctonptype[base_xtype]) # see if it is a primitive type
+ /* "netCDF4.pyx":4184
+ * dt = numpy.dtype(datatype) # see if it is a primitive type
* except KeyError:
* raise KeyError("unsupported component type for VLEN") # <<<<<<<<<<<<<<
* return VLType(group, dt, name, typeid=xtype)
*
*/
- __pyx_tuple__114 = PyTuple_Pack(1, __pyx_kp_s_unsupported_component_type_for_V); if (unlikely(!__pyx_tuple__114)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4128; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__114);
- __Pyx_GIVEREF(__pyx_tuple__114);
+ __pyx_tuple__113 = PyTuple_Pack(1, __pyx_kp_s_unsupported_component_type_for_V); if (unlikely(!__pyx_tuple__113)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4184; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__113);
+ __Pyx_GIVEREF(__pyx_tuple__113);
- /* "netCDF4.pyx":807
+ /* "netCDF4.pyx":781
* from ordereddict import OrderedDict
* except ImportError:
* raise ImportError('please install ordereddict (https://pypi.python.org/pypi/ordereddict)') # <<<<<<<<<<<<<<
* try:
* from itertools import izip as zip
*/
- __pyx_tuple__115 = PyTuple_Pack(1, __pyx_kp_s_please_install_ordereddict_https); if (unlikely(!__pyx_tuple__115)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 807; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__115);
- __Pyx_GIVEREF(__pyx_tuple__115);
+ __pyx_tuple__114 = PyTuple_Pack(1, __pyx_kp_s_please_install_ordereddict_https); if (unlikely(!__pyx_tuple__114)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 781; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__114);
+ __Pyx_GIVEREF(__pyx_tuple__114);
- /* "netCDF4.pyx":826
+ /* "netCDF4.pyx":800
* from numpy import ma
* from numpy import __version__ as _npversion
* if _npversion.split('.')[0] < '1': # <<<<<<<<<<<<<<
* raise ImportError('requires numpy version 1.0rc1 or later')
* import_array()
*/
- __pyx_tuple__117 = PyTuple_Pack(1, __pyx_kp_s__116); if (unlikely(!__pyx_tuple__117)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__117);
- __Pyx_GIVEREF(__pyx_tuple__117);
+ __pyx_tuple__116 = PyTuple_Pack(1, __pyx_kp_s__115); if (unlikely(!__pyx_tuple__116)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 800; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__116);
+ __Pyx_GIVEREF(__pyx_tuple__116);
- /* "netCDF4.pyx":827
+ /* "netCDF4.pyx":801
* from numpy import __version__ as _npversion
* if _npversion.split('.')[0] < '1':
* raise ImportError('requires numpy version 1.0rc1 or later') # <<<<<<<<<<<<<<
* import_array()
* include "netCDF4.pxi"
*/
- __pyx_tuple__118 = PyTuple_Pack(1, __pyx_kp_s_requires_numpy_version_1_0rc1_or); if (unlikely(!__pyx_tuple__118)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__118);
- __Pyx_GIVEREF(__pyx_tuple__118);
+ __pyx_tuple__117 = PyTuple_Pack(1, __pyx_kp_s_requires_numpy_version_1_0rc1_or); if (unlikely(!__pyx_tuple__117)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 801; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__117);
+ __Pyx_GIVEREF(__pyx_tuple__117);
- /* "utils.pyx":3
- * from datetime import timedelta, datetime
+ /* "utils.pyx":5
*
+ * # start of the gregorian calendar
* gregorian = datetime(1582,10,15) # <<<<<<<<<<<<<<
*
* def _dateparse(timestr):
*/
- __pyx_tuple__119 = PyTuple_Pack(3, __pyx_int_1582, __pyx_int_10, __pyx_int_15); if (unlikely(!__pyx_tuple__119)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 3; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__119);
- __Pyx_GIVEREF(__pyx_tuple__119);
+ __pyx_tuple__118 = PyTuple_Pack(3, __pyx_int_1582, __pyx_int_10, __pyx_int_15); if (unlikely(!__pyx_tuple__118)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 5; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__118);
+ __Pyx_GIVEREF(__pyx_tuple__118);
- /* "utils.pyx":5
+ /* "utils.pyx":7
* gregorian = datetime(1582,10,15)
*
* def _dateparse(timestr): # <<<<<<<<<<<<<<
* """parse a string of the form time-units since yyyy-mm-dd hh:mm:ss,
* return a datetime instance"""
*/
- __pyx_tuple__120 = PyTuple_Pack(9, __pyx_n_s_timestr, __pyx_n_s_dparse, __pyx_n_s_tzutc, __pyx_n_s_msg, __pyx_n_s_timestr_split, __pyx_n_s_units, __pyx_n_s_n, __pyx_n_s_isostring, __pyx_n_s_basedate); if (unlikely(!__pyx_tuple__120)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 5; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__120);
- __Pyx_GIVEREF(__pyx_tuple__120);
- __pyx_codeobj__121 = (PyObject*)__Pyx_PyCode_New(1, 0, 9, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__120, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_dateparse, 5, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__121)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 5; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__119 = PyTuple_Pack(13, __pyx_n_s_timestr, __pyx_n_s_timestr_split, __pyx_n_s_units, __pyx_n_s_n, __pyx_n_s_isostring, __pyx_n_s_year, __pyx_n_s_month, __pyx_n_s_day, __pyx_n_s_hour, __pyx_n_s_minute, __pyx_n_s_second, __pyx_n_s_utc_offset, __pyx_n_s_basedate); if (unlikely(!__pyx_tuple__119)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 7; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__119);
+ __Pyx_GIVEREF(__pyx_tuple__119);
+ __pyx_codeobj__120 = (PyObject*)__Pyx_PyCode_New(1, 0, 13, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__119, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_dateparse, 7, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__120)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 7; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "utils.pyx":28
* # utility functions (visible from python).
@@ -60770,10 +62745,10 @@ static int __Pyx_InitCachedConstants(void) {
* """
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*/
- __pyx_tuple__122 = PyTuple_Pack(4, __pyx_n_s_string, __pyx_n_s_NUMCHARS, __pyx_n_s_dtype, __pyx_n_s_arr); if (unlikely(!__pyx_tuple__122)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 28; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__122);
- __Pyx_GIVEREF(__pyx_tuple__122);
- __pyx_codeobj__123 = (PyObject*)__Pyx_PyCode_New(3, 0, 4, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__122, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_stringtoarr, 28, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__123)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 28; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__121 = PyTuple_Pack(4, __pyx_n_s_string, __pyx_n_s_NUMCHARS, __pyx_n_s_dtype, __pyx_n_s_arr); if (unlikely(!__pyx_tuple__121)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 28; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__121);
+ __Pyx_GIVEREF(__pyx_tuple__121);
+ __pyx_codeobj__122 = (PyObject*)__Pyx_PyCode_New(3, 0, 4, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__121, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_stringtoarr, 28, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__122)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 28; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "utils.pyx":51
* return arr
@@ -60782,10 +62757,10 @@ static int __Pyx_InitCachedConstants(void) {
* """
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*/
- __pyx_tuple__124 = PyTuple_Pack(3, __pyx_n_s_a, __pyx_n_s_dtype, __pyx_n_s_b); if (unlikely(!__pyx_tuple__124)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__124);
- __Pyx_GIVEREF(__pyx_tuple__124);
- __pyx_codeobj__125 = (PyObject*)__Pyx_PyCode_New(1, 0, 3, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__124, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_stringtochar, 51, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__125)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__123 = PyTuple_Pack(3, __pyx_n_s_a, __pyx_n_s_dtype, __pyx_n_s_b); if (unlikely(!__pyx_tuple__123)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__123);
+ __Pyx_GIVEREF(__pyx_tuple__123);
+ __pyx_codeobj__124 = (PyObject*)__Pyx_PyCode_New(1, 0, 3, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__123, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_stringtochar, 51, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__124)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "utils.pyx":70
* return b
@@ -60794,10 +62769,10 @@ static int __Pyx_InitCachedConstants(void) {
* """
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*/
- __pyx_tuple__126 = PyTuple_Pack(6, __pyx_n_s_b, __pyx_n_s_dtype, __pyx_n_s_bs, __pyx_n_s_slen, __pyx_n_s_a, __pyx_n_s_n1); if (unlikely(!__pyx_tuple__126)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 70; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__126);
- __Pyx_GIVEREF(__pyx_tuple__126);
- __pyx_codeobj__127 = (PyObject*)__Pyx_PyCode_New(1, 0, 6, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__126, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_chartostring, 70, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__127)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 70; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__125 = PyTuple_Pack(6, __pyx_n_s_b, __pyx_n_s_dtype, __pyx_n_s_bs, __pyx_n_s_slen, __pyx_n_s_a, __pyx_n_s_n1); if (unlikely(!__pyx_tuple__125)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 70; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__125);
+ __Pyx_GIVEREF(__pyx_tuple__125);
+ __pyx_codeobj__126 = (PyObject*)__Pyx_PyCode_New(1, 0, 6, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__125, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_chartostring, 70, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__126)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 70; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "utils.pyx":91
* return a
@@ -60806,10 +62781,10 @@ static int __Pyx_InitCachedConstants(void) {
* """
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*/
- __pyx_tuple__128 = PyTuple_Pack(15, __pyx_n_s_dates, __pyx_n_s_units, __pyx_n_s_calendar, __pyx_n_s_unit, __pyx_n_s_basedate, __pyx_n_s_tzutc, __pyx_n_s_msg, __pyx_n_s_isscalar, __pyx_n_s_ismasked, __pyx_n_s_mask, __pyx_n_s_times, __pyx_n_s_date, __pyx_n_s_td, __pyx_n_s_totaltime, __pyx_n_s_cdftime); if (unlikely(!__pyx_tuple__128)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 91; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__128);
- __Pyx_GIVEREF(__pyx_tuple__128);
- __pyx_codeobj__129 = (PyObject*)__Pyx_PyCode_New(3, 0, 15, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__128, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_date2num, 91, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__129)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 91; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__127 = PyTuple_Pack(14, __pyx_n_s_dates, __pyx_n_s_units, __pyx_n_s_calendar, __pyx_n_s_basedate, __pyx_n_s_unit, __pyx_n_s_isscalar, __pyx_n_s_shape, __pyx_n_s_ismasked, __pyx_n_s_mask, __pyx_n_s_times, __pyx_n_s_date, __pyx_n_s_td, __pyx_n_s_totaltime, __pyx_n_s_cdftime); if (unlikely(!__pyx_tuple__127)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 91; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__127);
+ __Pyx_GIVEREF(__pyx_tuple__127);
+ __pyx_codeobj__128 = (PyObject*)__Pyx_PyCode_New(3, 0, 14, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__127, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_date2num, 91, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__128)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 91; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "utils.pyx":168
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@@ -60818,331 +62793,331 @@ static int __Pyx_InitCachedConstants(void) {
* """
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*/
- __pyx_tuple__130 = PyTuple_Pack(20, __pyx_n_s_times, __pyx_n_s_units, __pyx_n_s_calendar, __pyx_n_s_unit, __pyx_n_s_basedate, __pyx_n_s_tzutc, __pyx_n_s_msg, __pyx_n_s_isscalar, __pyx_n_s_ismasked, __pyx_n_s_mask, __pyx_n_s_dates, __pyx_n_s_time, __pyx_n_s_tsecs, __pyx_n_s_days, __pyx_n_s_msecsd, __pyx_n_s_secs, __pyx_n_s_msecs, __pyx_n_s_td, __pyx_n_s_date, __pyx_n_s_cdftime); if (unlikely(!__pyx_tuple__130)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 168; __pyx_clineno = __LINE__; [...]
- __Pyx_GOTREF(__pyx_tuple__130);
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- __Pyx_GIVEREF(__pyx_tuple__181);
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@@ -61155,8 +63130,10 @@ static int __Pyx_InitGlobals(void) {
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__pyx_float_1_0 = PyFloat_FromDouble(1.0); if (unlikely(!__pyx_float_1_0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_float_24_ = PyFloat_FromDouble(24.); if (unlikely(!__pyx_float_24_)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_float_1_e3 = PyFloat_FromDouble(1.e3); if (unlikely(!__pyx_float_1_e3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_float_86400_ = PyFloat_FromDouble(86400.); if (unlikely(!__pyx_float_86400_)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -61169,6 +63146,7 @@ static int __Pyx_InitGlobals(void) {
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__pyx_int_24 = PyInt_FromLong(24); if (unlikely(!__pyx_int_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_int_1900 = PyInt_FromLong(1900); if (unlikely(!__pyx_int_1900)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_int_3600 = PyInt_FromLong(3600); if (unlikely(!__pyx_int_3600)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
@@ -61275,65 +63253,65 @@ PyMODINIT_FUNC PyInit_netCDF4(void)
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__pyx_type_7netCDF4_Dataset.tp_print = 0;
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+ if (PyType_Ready(&__pyx_type_7netCDF4_Group) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2090; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7netCDF4_Group.tp_print = 0;
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+ if (PyObject_SetAttrString(__pyx_m, "Group", (PyObject *)&__pyx_type_7netCDF4_Group) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2090; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_type_7netCDF4_Group.tp_weaklistoffset == 0) __pyx_type_7netCDF4_Group.tp_weaklistoffset = offsetof(struct __pyx_obj_7netCDF4_Group, __pyx_base.__weakref__);
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__pyx_type_7netCDF4_Dimension.tp_print = 0;
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__pyx_type_7netCDF4_CompoundType.tp_print = 0;
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/*--- Type import code ---*/
/*--- Variable import code ---*/
/*--- Function import code ---*/
/*--- Execution code ---*/
- /* "netCDF4.pyx":792
+ /* "netCDF4.pyx":766
* OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
* PERFORMANCE OF THIS SOFTWARE."""
* __test__ = None # <<<<<<<<<<<<<<
* del __test__ # hack so epydoc doesn't show __test__
*
*/
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- /* "netCDF4.pyx":793
+ /* "netCDF4.pyx":767
* PERFORMANCE OF THIS SOFTWARE."""
* __test__ = None
* del __test__ # hack so epydoc doesn't show __test__ # <<<<<<<<<<<<<<
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* # Make changes to this file, not the c-wrappers that Pyrex generates.
*/
- if (__Pyx_PyObject_DelAttrStr(__pyx_m, __pyx_n_s_test) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 793; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (__Pyx_PyObject_DelAttrStr(__pyx_m, __pyx_n_s_test) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 767; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4.pyx":798
+ /* "netCDF4.pyx":772
*
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__Pyx_GIVEREF(__pyx_n_s_tostr);
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__Pyx_XGOTREF(__pyx_t_5);
/*try:*/ {
- /* "netCDF4.pyx":802
+ /* "netCDF4.pyx":776
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__Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
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__Pyx_XGOTREF(__pyx_t_10);
/*try:*/ {
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__Pyx_GOTREF(__pyx_t_11);
- if (PyDict_SetItem(__pyx_d, __pyx_n_s_OrderedDict, __pyx_t_11) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 805; __pyx_clineno = __LINE__; goto __pyx_L12_error;}
+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_OrderedDict, __pyx_t_11) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 779; __pyx_clineno = __LINE__; goto __pyx_L12_error;}
__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
__Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
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@@ -61490,7 +63468,7 @@ PyMODINIT_FUNC PyInit_netCDF4(void)
__Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0;
__Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
- /* "netCDF4.pyx":806
+ /* "netCDF4.pyx":780
* try:
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@@ -61500,23 +63478,23 @@ PyMODINIT_FUNC PyInit_netCDF4(void)
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__Pyx_GOTREF(__pyx_t_11);
__Pyx_GOTREF(__pyx_t_13);
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+ /* "netCDF4.pyx":781
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goto __pyx_L14_except_error;
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__pyx_L9_try_end:;
}
- /* "netCDF4.pyx":808
+ /* "netCDF4.pyx":782
* except ImportError:
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__Pyx_XGOTREF(__pyx_t_3);
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- /* "netCDF4.pyx":809
+ /* "netCDF4.pyx":783
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__Pyx_GOTREF(__pyx_t_2);
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+ __pyx_t_7 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_izip); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 783; __pyx_clineno = __LINE__; goto __pyx_L22_error;}
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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@@ -61595,7 +63573,7 @@ PyMODINIT_FUNC PyInit_netCDF4(void)
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__Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
- /* "netCDF4.pyx":810
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__pyx_L29_try_end:;
}
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+ /* "netCDF4.pyx":791
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- __pyx_t_2 = __Pyx_Import(__pyx_n_s_posixpath, 0, -1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 817; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = __Pyx_Import(__pyx_n_s_posixpath, 0, -1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 791; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_posixpath, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 791; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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+ __pyx_t_2 = __Pyx_Import(__pyx_n_s_netcdftime, 0, -1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 792; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
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+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_netcdftime, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 792; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_t_2 = __Pyx_Import(__pyx_n_s_numpy, 0, -1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 819; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_2);
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+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_numpy, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 793; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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+ __pyx_t_2 = __Pyx_Import(__pyx_n_s_weakref, 0, -1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_weakref, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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* import numpy
* import weakref
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+ __pyx_t_2 = __Pyx_Import(__pyx_n_s_sys, 0, -1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 795; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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+ PyList_SET_ITEM(__pyx_t_2, 6, __pyx_n_s_dtype);
__Pyx_GIVEREF(__pyx_n_s_dtype);
__Pyx_INCREF(__pyx_n_s_data_model_2);
- PyList_SET_ITEM(__pyx_t_7, 7, __pyx_n_s_data_model_2);
+ PyList_SET_ITEM(__pyx_t_2, 7, __pyx_n_s_data_model_2);
__Pyx_GIVEREF(__pyx_n_s_data_model_2);
__Pyx_INCREF(__pyx_n_s_disk_format_2);
- PyList_SET_ITEM(__pyx_t_7, 8, __pyx_n_s_disk_format_2);
+ PyList_SET_ITEM(__pyx_t_2, 8, __pyx_n_s_disk_format_2);
__Pyx_GIVEREF(__pyx_n_s_disk_format_2);
__Pyx_INCREF(__pyx_n_s_nunlimdim);
- PyList_SET_ITEM(__pyx_t_7, 9, __pyx_n_s_nunlimdim);
+ PyList_SET_ITEM(__pyx_t_2, 9, __pyx_n_s_nunlimdim);
__Pyx_GIVEREF(__pyx_n_s_nunlimdim);
__Pyx_INCREF(__pyx_n_s_path_2);
- PyList_SET_ITEM(__pyx_t_7, 10, __pyx_n_s_path_2);
+ PyList_SET_ITEM(__pyx_t_2, 10, __pyx_n_s_path_2);
__Pyx_GIVEREF(__pyx_n_s_path_2);
__Pyx_INCREF(__pyx_n_s_parent);
- PyList_SET_ITEM(__pyx_t_7, 11, __pyx_n_s_parent);
+ PyList_SET_ITEM(__pyx_t_2, 11, __pyx_n_s_parent);
__Pyx_GIVEREF(__pyx_n_s_parent);
__Pyx_INCREF(__pyx_n_s_ndim);
- PyList_SET_ITEM(__pyx_t_7, 12, __pyx_n_s_ndim);
+ PyList_SET_ITEM(__pyx_t_2, 12, __pyx_n_s_ndim);
__Pyx_GIVEREF(__pyx_n_s_ndim);
__Pyx_INCREF(__pyx_n_s_mask);
- PyList_SET_ITEM(__pyx_t_7, 13, __pyx_n_s_mask);
+ PyList_SET_ITEM(__pyx_t_2, 13, __pyx_n_s_mask);
__Pyx_GIVEREF(__pyx_n_s_mask);
__Pyx_INCREF(__pyx_n_s_scale);
- PyList_SET_ITEM(__pyx_t_7, 14, __pyx_n_s_scale);
+ PyList_SET_ITEM(__pyx_t_2, 14, __pyx_n_s_scale);
__Pyx_GIVEREF(__pyx_n_s_scale);
__Pyx_INCREF(__pyx_n_s_cmptypes);
- PyList_SET_ITEM(__pyx_t_7, 15, __pyx_n_s_cmptypes);
+ PyList_SET_ITEM(__pyx_t_2, 15, __pyx_n_s_cmptypes);
__Pyx_GIVEREF(__pyx_n_s_cmptypes);
__Pyx_INCREF(__pyx_n_s_vltypes);
- PyList_SET_ITEM(__pyx_t_7, 16, __pyx_n_s_vltypes);
+ PyList_SET_ITEM(__pyx_t_2, 16, __pyx_n_s_vltypes);
__Pyx_GIVEREF(__pyx_n_s_vltypes);
__Pyx_INCREF(__pyx_n_s_isprimitive);
- PyList_SET_ITEM(__pyx_t_7, 17, __pyx_n_s_isprimitive);
+ PyList_SET_ITEM(__pyx_t_2, 17, __pyx_n_s_isprimitive);
__Pyx_GIVEREF(__pyx_n_s_isprimitive);
__Pyx_INCREF(__pyx_n_s_file_format_2);
- PyList_SET_ITEM(__pyx_t_7, 18, __pyx_n_s_file_format_2);
+ PyList_SET_ITEM(__pyx_t_2, 18, __pyx_n_s_file_format_2);
__Pyx_GIVEREF(__pyx_n_s_file_format_2);
__Pyx_INCREF(__pyx_n_s_isvlen);
- PyList_SET_ITEM(__pyx_t_7, 19, __pyx_n_s_isvlen);
+ PyList_SET_ITEM(__pyx_t_2, 19, __pyx_n_s_isvlen);
__Pyx_GIVEREF(__pyx_n_s_isvlen);
__Pyx_INCREF(__pyx_n_s_iscompound);
- PyList_SET_ITEM(__pyx_t_7, 20, __pyx_n_s_iscompound);
+ PyList_SET_ITEM(__pyx_t_2, 20, __pyx_n_s_iscompound);
__Pyx_GIVEREF(__pyx_n_s_iscompound);
__Pyx_INCREF(__pyx_n_s_cmptype);
- PyList_SET_ITEM(__pyx_t_7, 21, __pyx_n_s_cmptype);
+ PyList_SET_ITEM(__pyx_t_2, 21, __pyx_n_s_cmptype);
__Pyx_GIVEREF(__pyx_n_s_cmptype);
__Pyx_INCREF(__pyx_n_s_vltype);
- PyList_SET_ITEM(__pyx_t_7, 22, __pyx_n_s_vltype);
+ PyList_SET_ITEM(__pyx_t_2, 22, __pyx_n_s_vltype);
__Pyx_GIVEREF(__pyx_n_s_vltype);
__Pyx_INCREF(__pyx_n_s_keepweakref);
- PyList_SET_ITEM(__pyx_t_7, 23, __pyx_n_s_keepweakref);
+ PyList_SET_ITEM(__pyx_t_2, 23, __pyx_n_s_keepweakref);
__Pyx_GIVEREF(__pyx_n_s_keepweakref);
__Pyx_INCREF(__pyx_n_s_name);
- PyList_SET_ITEM(__pyx_t_7, 24, __pyx_n_s_name);
+ PyList_SET_ITEM(__pyx_t_2, 24, __pyx_n_s_name);
__Pyx_GIVEREF(__pyx_n_s_name);
- if (PyDict_SetItem(__pyx_d, __pyx_n_s_private_atts, __pyx_t_7) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1278; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_private_atts, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1297; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
- /* "netCDF4.pyx":4131
+ /* "netCDF4.pyx":4187
* return VLType(group, dt, name, typeid=xtype)
*
* cdef _strencode(pystr,encoding=None): # <<<<<<<<<<<<<<
@@ -63210,107 +65215,6 @@ static PyObject *__Pyx_GetBuiltinName(PyObject *name) {
return result;
}
-static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
- PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
- if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
- PyErr_Format(PyExc_ImportError,
- #if PY_MAJOR_VERSION < 3
- "cannot import name %.230s", PyString_AS_STRING(name));
- #else
- "cannot import name %S", name);
- #endif
- }
- return value;
-}
-
-static CYTHON_INLINE void __Pyx_ExceptionSave(PyObject **type, PyObject **value, PyObject **tb) {
-#if CYTHON_COMPILING_IN_CPYTHON
- PyThreadState *tstate = PyThreadState_GET();
- *type = tstate->exc_type;
- *value = tstate->exc_value;
- *tb = tstate->exc_traceback;
- Py_XINCREF(*type);
- Py_XINCREF(*value);
- Py_XINCREF(*tb);
-#else
- PyErr_GetExcInfo(type, value, tb);
-#endif
-}
-static void __Pyx_ExceptionReset(PyObject *type, PyObject *value, PyObject *tb) {
-#if CYTHON_COMPILING_IN_CPYTHON
- PyObject *tmp_type, *tmp_value, *tmp_tb;
- PyThreadState *tstate = PyThreadState_GET();
- tmp_type = tstate->exc_type;
- tmp_value = tstate->exc_value;
- tmp_tb = tstate->exc_traceback;
- tstate->exc_type = type;
- tstate->exc_value = value;
- tstate->exc_traceback = tb;
- Py_XDECREF(tmp_type);
- Py_XDECREF(tmp_value);
- Py_XDECREF(tmp_tb);
-#else
- PyErr_SetExcInfo(type, value, tb);
-#endif
-}
-
-static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) {
- PyObject *local_type, *local_value, *local_tb;
-#if CYTHON_COMPILING_IN_CPYTHON
- PyObject *tmp_type, *tmp_value, *tmp_tb;
- PyThreadState *tstate = PyThreadState_GET();
- local_type = tstate->curexc_type;
- local_value = tstate->curexc_value;
- local_tb = tstate->curexc_traceback;
- tstate->curexc_type = 0;
- tstate->curexc_value = 0;
- tstate->curexc_traceback = 0;
-#else
- PyErr_Fetch(&local_type, &local_value, &local_tb);
-#endif
- PyErr_NormalizeException(&local_type, &local_value, &local_tb);
-#if CYTHON_COMPILING_IN_CPYTHON
- if (unlikely(tstate->curexc_type))
-#else
- if (unlikely(PyErr_Occurred()))
-#endif
- goto bad;
- #if PY_MAJOR_VERSION >= 3
- if (local_tb) {
- if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
- goto bad;
- }
- #endif
- Py_XINCREF(local_tb);
- Py_XINCREF(local_type);
- Py_XINCREF(local_value);
- *type = local_type;
- *value = local_value;
- *tb = local_tb;
-#if CYTHON_COMPILING_IN_CPYTHON
- tmp_type = tstate->exc_type;
- tmp_value = tstate->exc_value;
- tmp_tb = tstate->exc_traceback;
- tstate->exc_type = local_type;
- tstate->exc_value = local_value;
- tstate->exc_traceback = local_tb;
- Py_XDECREF(tmp_type);
- Py_XDECREF(tmp_value);
- Py_XDECREF(tmp_tb);
-#else
- PyErr_SetExcInfo(local_type, local_value, local_tb);
-#endif
- return 0;
-bad:
- *type = 0;
- *value = 0;
- *tb = 0;
- Py_XDECREF(local_type);
- Py_XDECREF(local_value);
- Py_XDECREF(local_tb);
- return -1;
-}
-
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
PyObject *result;
@@ -63330,194 +65234,6 @@ static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg
}
#endif
-static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb) {
-#if CYTHON_COMPILING_IN_CPYTHON
- PyObject *tmp_type, *tmp_value, *tmp_tb;
- PyThreadState *tstate = PyThreadState_GET();
- tmp_type = tstate->curexc_type;
- tmp_value = tstate->curexc_value;
- tmp_tb = tstate->curexc_traceback;
- tstate->curexc_type = type;
- tstate->curexc_value = value;
- tstate->curexc_traceback = tb;
- Py_XDECREF(tmp_type);
- Py_XDECREF(tmp_value);
- Py_XDECREF(tmp_tb);
-#else
- PyErr_Restore(type, value, tb);
-#endif
-}
-static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb) {
-#if CYTHON_COMPILING_IN_CPYTHON
- PyThreadState *tstate = PyThreadState_GET();
- *type = tstate->curexc_type;
- *value = tstate->curexc_value;
- *tb = tstate->curexc_traceback;
- tstate->curexc_type = 0;
- tstate->curexc_value = 0;
- tstate->curexc_traceback = 0;
-#else
- PyErr_Fetch(type, value, tb);
-#endif
-}
-
-#if PY_MAJOR_VERSION < 3
-static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
- CYTHON_UNUSED PyObject *cause) {
- Py_XINCREF(type);
- if (!value || value == Py_None)
- value = NULL;
- else
- Py_INCREF(value);
- if (!tb || tb == Py_None)
- tb = NULL;
- else {
- Py_INCREF(tb);
- if (!PyTraceBack_Check(tb)) {
- PyErr_SetString(PyExc_TypeError,
- "raise: arg 3 must be a traceback or None");
- goto raise_error;
- }
- }
- if (PyType_Check(type)) {
-#if CYTHON_COMPILING_IN_PYPY
- if (!value) {
- Py_INCREF(Py_None);
- value = Py_None;
- }
-#endif
- PyErr_NormalizeException(&type, &value, &tb);
- } else {
- if (value) {
- PyErr_SetString(PyExc_TypeError,
- "instance exception may not have a separate value");
- goto raise_error;
- }
- value = type;
- type = (PyObject*) Py_TYPE(type);
- Py_INCREF(type);
- if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
- PyErr_SetString(PyExc_TypeError,
- "raise: exception class must be a subclass of BaseException");
- goto raise_error;
- }
- }
- __Pyx_ErrRestore(type, value, tb);
- return;
-raise_error:
- Py_XDECREF(value);
- Py_XDECREF(type);
- Py_XDECREF(tb);
- return;
-}
-#else
-static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
- PyObject* owned_instance = NULL;
- if (tb == Py_None) {
- tb = 0;
- } else if (tb && !PyTraceBack_Check(tb)) {
- PyErr_SetString(PyExc_TypeError,
- "raise: arg 3 must be a traceback or None");
- goto bad;
- }
- if (value == Py_None)
- value = 0;
- if (PyExceptionInstance_Check(type)) {
- if (value) {
- PyErr_SetString(PyExc_TypeError,
- "instance exception may not have a separate value");
- goto bad;
- }
- value = type;
- type = (PyObject*) Py_TYPE(value);
- } else if (PyExceptionClass_Check(type)) {
- PyObject *instance_class = NULL;
- if (value && PyExceptionInstance_Check(value)) {
- instance_class = (PyObject*) Py_TYPE(value);
- if (instance_class != type) {
- if (PyObject_IsSubclass(instance_class, type)) {
- type = instance_class;
- } else {
- instance_class = NULL;
- }
- }
- }
- if (!instance_class) {
- PyObject *args;
- if (!value)
- args = PyTuple_New(0);
- else if (PyTuple_Check(value)) {
- Py_INCREF(value);
- args = value;
- } else
- args = PyTuple_Pack(1, value);
- if (!args)
- goto bad;
- owned_instance = PyObject_Call(type, args, NULL);
- Py_DECREF(args);
- if (!owned_instance)
- goto bad;
- value = owned_instance;
- if (!PyExceptionInstance_Check(value)) {
- PyErr_Format(PyExc_TypeError,
- "calling %R should have returned an instance of "
- "BaseException, not %R",
- type, Py_TYPE(value));
- goto bad;
- }
- }
- } else {
- PyErr_SetString(PyExc_TypeError,
- "raise: exception class must be a subclass of BaseException");
- goto bad;
- }
-#if PY_VERSION_HEX >= 0x03030000
- if (cause) {
-#else
- if (cause && cause != Py_None) {
-#endif
- PyObject *fixed_cause;
- if (cause == Py_None) {
- fixed_cause = NULL;
- } else if (PyExceptionClass_Check(cause)) {
- fixed_cause = PyObject_CallObject(cause, NULL);
- if (fixed_cause == NULL)
- goto bad;
- } else if (PyExceptionInstance_Check(cause)) {
- fixed_cause = cause;
- Py_INCREF(fixed_cause);
- } else {
- PyErr_SetString(PyExc_TypeError,
- "exception causes must derive from "
- "BaseException");
- goto bad;
- }
- PyException_SetCause(value, fixed_cause);
- }
- PyErr_SetObject(type, value);
- if (tb) {
-#if CYTHON_COMPILING_IN_PYPY
- PyObject *tmp_type, *tmp_value, *tmp_tb;
- PyErr_Fetch(tmp_type, tmp_value, tmp_tb);
- Py_INCREF(tb);
- PyErr_Restore(tmp_type, tmp_value, tb);
- Py_XDECREF(tmp_tb);
-#else
- PyThreadState *tstate = PyThreadState_GET();
- PyObject* tmp_tb = tstate->curexc_traceback;
- if (tb != tmp_tb) {
- Py_INCREF(tb);
- tstate->curexc_traceback = tb;
- Py_XDECREF(tmp_tb);
- }
-#endif
- }
-bad:
- Py_XDECREF(owned_instance);
- return;
-}
-#endif
-
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
PyObject *self, *result;
@@ -63780,6 +65496,194 @@ return_ne:
#endif
}
+static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb) {
+#if CYTHON_COMPILING_IN_CPYTHON
+ PyObject *tmp_type, *tmp_value, *tmp_tb;
+ PyThreadState *tstate = PyThreadState_GET();
+ tmp_type = tstate->curexc_type;
+ tmp_value = tstate->curexc_value;
+ tmp_tb = tstate->curexc_traceback;
+ tstate->curexc_type = type;
+ tstate->curexc_value = value;
+ tstate->curexc_traceback = tb;
+ Py_XDECREF(tmp_type);
+ Py_XDECREF(tmp_value);
+ Py_XDECREF(tmp_tb);
+#else
+ PyErr_Restore(type, value, tb);
+#endif
+}
+static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb) {
+#if CYTHON_COMPILING_IN_CPYTHON
+ PyThreadState *tstate = PyThreadState_GET();
+ *type = tstate->curexc_type;
+ *value = tstate->curexc_value;
+ *tb = tstate->curexc_traceback;
+ tstate->curexc_type = 0;
+ tstate->curexc_value = 0;
+ tstate->curexc_traceback = 0;
+#else
+ PyErr_Fetch(type, value, tb);
+#endif
+}
+
+#if PY_MAJOR_VERSION < 3
+static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
+ CYTHON_UNUSED PyObject *cause) {
+ Py_XINCREF(type);
+ if (!value || value == Py_None)
+ value = NULL;
+ else
+ Py_INCREF(value);
+ if (!tb || tb == Py_None)
+ tb = NULL;
+ else {
+ Py_INCREF(tb);
+ if (!PyTraceBack_Check(tb)) {
+ PyErr_SetString(PyExc_TypeError,
+ "raise: arg 3 must be a traceback or None");
+ goto raise_error;
+ }
+ }
+ if (PyType_Check(type)) {
+#if CYTHON_COMPILING_IN_PYPY
+ if (!value) {
+ Py_INCREF(Py_None);
+ value = Py_None;
+ }
+#endif
+ PyErr_NormalizeException(&type, &value, &tb);
+ } else {
+ if (value) {
+ PyErr_SetString(PyExc_TypeError,
+ "instance exception may not have a separate value");
+ goto raise_error;
+ }
+ value = type;
+ type = (PyObject*) Py_TYPE(type);
+ Py_INCREF(type);
+ if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
+ PyErr_SetString(PyExc_TypeError,
+ "raise: exception class must be a subclass of BaseException");
+ goto raise_error;
+ }
+ }
+ __Pyx_ErrRestore(type, value, tb);
+ return;
+raise_error:
+ Py_XDECREF(value);
+ Py_XDECREF(type);
+ Py_XDECREF(tb);
+ return;
+}
+#else
+static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
+ PyObject* owned_instance = NULL;
+ if (tb == Py_None) {
+ tb = 0;
+ } else if (tb && !PyTraceBack_Check(tb)) {
+ PyErr_SetString(PyExc_TypeError,
+ "raise: arg 3 must be a traceback or None");
+ goto bad;
+ }
+ if (value == Py_None)
+ value = 0;
+ if (PyExceptionInstance_Check(type)) {
+ if (value) {
+ PyErr_SetString(PyExc_TypeError,
+ "instance exception may not have a separate value");
+ goto bad;
+ }
+ value = type;
+ type = (PyObject*) Py_TYPE(value);
+ } else if (PyExceptionClass_Check(type)) {
+ PyObject *instance_class = NULL;
+ if (value && PyExceptionInstance_Check(value)) {
+ instance_class = (PyObject*) Py_TYPE(value);
+ if (instance_class != type) {
+ if (PyObject_IsSubclass(instance_class, type)) {
+ type = instance_class;
+ } else {
+ instance_class = NULL;
+ }
+ }
+ }
+ if (!instance_class) {
+ PyObject *args;
+ if (!value)
+ args = PyTuple_New(0);
+ else if (PyTuple_Check(value)) {
+ Py_INCREF(value);
+ args = value;
+ } else
+ args = PyTuple_Pack(1, value);
+ if (!args)
+ goto bad;
+ owned_instance = PyObject_Call(type, args, NULL);
+ Py_DECREF(args);
+ if (!owned_instance)
+ goto bad;
+ value = owned_instance;
+ if (!PyExceptionInstance_Check(value)) {
+ PyErr_Format(PyExc_TypeError,
+ "calling %R should have returned an instance of "
+ "BaseException, not %R",
+ type, Py_TYPE(value));
+ goto bad;
+ }
+ }
+ } else {
+ PyErr_SetString(PyExc_TypeError,
+ "raise: exception class must be a subclass of BaseException");
+ goto bad;
+ }
+#if PY_VERSION_HEX >= 0x03030000
+ if (cause) {
+#else
+ if (cause && cause != Py_None) {
+#endif
+ PyObject *fixed_cause;
+ if (cause == Py_None) {
+ fixed_cause = NULL;
+ } else if (PyExceptionClass_Check(cause)) {
+ fixed_cause = PyObject_CallObject(cause, NULL);
+ if (fixed_cause == NULL)
+ goto bad;
+ } else if (PyExceptionInstance_Check(cause)) {
+ fixed_cause = cause;
+ Py_INCREF(fixed_cause);
+ } else {
+ PyErr_SetString(PyExc_TypeError,
+ "exception causes must derive from "
+ "BaseException");
+ goto bad;
+ }
+ PyException_SetCause(value, fixed_cause);
+ }
+ PyErr_SetObject(type, value);
+ if (tb) {
+#if CYTHON_COMPILING_IN_PYPY
+ PyObject *tmp_type, *tmp_value, *tmp_tb;
+ PyErr_Fetch(tmp_type, tmp_value, tmp_tb);
+ Py_INCREF(tb);
+ PyErr_Restore(tmp_type, tmp_value, tb);
+ Py_XDECREF(tmp_tb);
+#else
+ PyThreadState *tstate = PyThreadState_GET();
+ PyObject* tmp_tb = tstate->curexc_traceback;
+ if (tb != tmp_tb) {
+ Py_INCREF(tb);
+ tstate->curexc_traceback = tb;
+ Py_XDECREF(tmp_tb);
+ }
+#endif
+ }
+bad:
+ Py_XDECREF(owned_instance);
+ return;
+}
+#endif
+
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(
PyObject* obj, Py_ssize_t cstart, Py_ssize_t cstop,
PyObject** _py_start, PyObject** _py_stop, PyObject** _py_slice,
@@ -63877,6 +65781,79 @@ bad:
return NULL;
}
+static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) {
+ PyObject *result;
+#if CYTHON_COMPILING_IN_CPYTHON
+ result = PyDict_GetItem(__pyx_d, name);
+ if (likely(result)) {
+ Py_INCREF(result);
+ } else {
+#else
+ result = PyObject_GetItem(__pyx_d, name);
+ if (!result) {
+ PyErr_Clear();
+#endif
+ result = __Pyx_GetBuiltinName(name);
+ }
+ return result;
+}
+
+static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
+ PyErr_Format(PyExc_ValueError,
+ "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
+}
+
+static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
+ PyErr_Format(PyExc_ValueError,
+ "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
+ index, (index == 1) ? "" : "s");
+}
+
+static CYTHON_INLINE int __Pyx_IterFinish(void) {
+#if CYTHON_COMPILING_IN_CPYTHON
+ PyThreadState *tstate = PyThreadState_GET();
+ PyObject* exc_type = tstate->curexc_type;
+ if (unlikely(exc_type)) {
+ if (likely(exc_type == PyExc_StopIteration) || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration)) {
+ PyObject *exc_value, *exc_tb;
+ exc_value = tstate->curexc_value;
+ exc_tb = tstate->curexc_traceback;
+ tstate->curexc_type = 0;
+ tstate->curexc_value = 0;
+ tstate->curexc_traceback = 0;
+ Py_DECREF(exc_type);
+ Py_XDECREF(exc_value);
+ Py_XDECREF(exc_tb);
+ return 0;
+ } else {
+ return -1;
+ }
+ }
+ return 0;
+#else
+ if (unlikely(PyErr_Occurred())) {
+ if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) {
+ PyErr_Clear();
+ return 0;
+ } else {
+ return -1;
+ }
+ }
+ return 0;
+#endif
+}
+
+static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) {
+ if (unlikely(retval)) {
+ Py_DECREF(retval);
+ __Pyx_RaiseTooManyValuesError(expected);
+ return -1;
+ } else {
+ return __Pyx_IterFinish();
+ }
+ return 0;
+}
+
static void __Pyx_RaiseArgtupleInvalid(
const char* func_name,
int exact,
@@ -64016,23 +65993,6 @@ bad:
return -1;
}
-static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) {
- PyObject *result;
-#if CYTHON_COMPILING_IN_CPYTHON
- result = PyDict_GetItem(__pyx_d, name);
- if (likely(result)) {
- Py_INCREF(result);
- } else {
-#else
- result = PyObject_GetItem(__pyx_d, name);
- if (!result) {
- PyErr_Clear();
-#endif
- result = __Pyx_GetBuiltinName(name);
- }
- return result;
-}
-
static CYTHON_INLINE int __Pyx_PyObject_SetSlice(
PyObject* obj, PyObject* value, Py_ssize_t cstart, Py_ssize_t cstop,
PyObject** _py_start, PyObject** _py_stop, PyObject** _py_slice,
@@ -64131,6 +66091,94 @@ bad:
return -1;
}
+static CYTHON_INLINE void __Pyx_ExceptionSave(PyObject **type, PyObject **value, PyObject **tb) {
+#if CYTHON_COMPILING_IN_CPYTHON
+ PyThreadState *tstate = PyThreadState_GET();
+ *type = tstate->exc_type;
+ *value = tstate->exc_value;
+ *tb = tstate->exc_traceback;
+ Py_XINCREF(*type);
+ Py_XINCREF(*value);
+ Py_XINCREF(*tb);
+#else
+ PyErr_GetExcInfo(type, value, tb);
+#endif
+}
+static void __Pyx_ExceptionReset(PyObject *type, PyObject *value, PyObject *tb) {
+#if CYTHON_COMPILING_IN_CPYTHON
+ PyObject *tmp_type, *tmp_value, *tmp_tb;
+ PyThreadState *tstate = PyThreadState_GET();
+ tmp_type = tstate->exc_type;
+ tmp_value = tstate->exc_value;
+ tmp_tb = tstate->exc_traceback;
+ tstate->exc_type = type;
+ tstate->exc_value = value;
+ tstate->exc_traceback = tb;
+ Py_XDECREF(tmp_type);
+ Py_XDECREF(tmp_value);
+ Py_XDECREF(tmp_tb);
+#else
+ PyErr_SetExcInfo(type, value, tb);
+#endif
+}
+
+static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) {
+ PyObject *local_type, *local_value, *local_tb;
+#if CYTHON_COMPILING_IN_CPYTHON
+ PyObject *tmp_type, *tmp_value, *tmp_tb;
+ PyThreadState *tstate = PyThreadState_GET();
+ local_type = tstate->curexc_type;
+ local_value = tstate->curexc_value;
+ local_tb = tstate->curexc_traceback;
+ tstate->curexc_type = 0;
+ tstate->curexc_value = 0;
+ tstate->curexc_traceback = 0;
+#else
+ PyErr_Fetch(&local_type, &local_value, &local_tb);
+#endif
+ PyErr_NormalizeException(&local_type, &local_value, &local_tb);
+#if CYTHON_COMPILING_IN_CPYTHON
+ if (unlikely(tstate->curexc_type))
+#else
+ if (unlikely(PyErr_Occurred()))
+#endif
+ goto bad;
+ #if PY_MAJOR_VERSION >= 3
+ if (local_tb) {
+ if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
+ goto bad;
+ }
+ #endif
+ Py_XINCREF(local_tb);
+ Py_XINCREF(local_type);
+ Py_XINCREF(local_value);
+ *type = local_type;
+ *value = local_value;
+ *tb = local_tb;
+#if CYTHON_COMPILING_IN_CPYTHON
+ tmp_type = tstate->exc_type;
+ tmp_value = tstate->exc_value;
+ tmp_tb = tstate->exc_traceback;
+ tstate->exc_type = local_type;
+ tstate->exc_value = local_value;
+ tstate->exc_traceback = local_tb;
+ Py_XDECREF(tmp_type);
+ Py_XDECREF(tmp_value);
+ Py_XDECREF(tmp_tb);
+#else
+ PyErr_SetExcInfo(local_type, local_value, local_tb);
+#endif
+ return 0;
+bad:
+ *type = 0;
+ *value = 0;
+ *tb = 0;
+ Py_XDECREF(local_type);
+ Py_XDECREF(local_value);
+ Py_XDECREF(local_tb);
+ return -1;
+}
+
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {
PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname);
}
@@ -64187,62 +66235,6 @@ static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
}
}
-static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
- PyErr_Format(PyExc_ValueError,
- "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
-}
-
-static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
- PyErr_Format(PyExc_ValueError,
- "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
- index, (index == 1) ? "" : "s");
-}
-
-static CYTHON_INLINE int __Pyx_IterFinish(void) {
-#if CYTHON_COMPILING_IN_CPYTHON
- PyThreadState *tstate = PyThreadState_GET();
- PyObject* exc_type = tstate->curexc_type;
- if (unlikely(exc_type)) {
- if (likely(exc_type == PyExc_StopIteration) || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration)) {
- PyObject *exc_value, *exc_tb;
- exc_value = tstate->curexc_value;
- exc_tb = tstate->curexc_traceback;
- tstate->curexc_type = 0;
- tstate->curexc_value = 0;
- tstate->curexc_traceback = 0;
- Py_DECREF(exc_type);
- Py_XDECREF(exc_value);
- Py_XDECREF(exc_tb);
- return 0;
- } else {
- return -1;
- }
- }
- return 0;
-#else
- if (unlikely(PyErr_Occurred())) {
- if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) {
- PyErr_Clear();
- return 0;
- } else {
- return -1;
- }
- }
- return 0;
-#endif
-}
-
-static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) {
- if (unlikely(retval)) {
- Py_DECREF(retval);
- __Pyx_RaiseTooManyValuesError(expected);
- return -1;
- } else {
- return __Pyx_IterFinish();
- }
- return 0;
-}
-
static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg) {
PyObject *method, *result = NULL;
method = __Pyx_PyObject_GetAttrStr(obj, method_name);
@@ -64424,6 +66416,19 @@ static CYTHON_INLINE int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, in
return 0;
}
+static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
+ PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
+ if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
+ PyErr_Format(PyExc_ImportError,
+ #if PY_MAJOR_VERSION < 3
+ "cannot import name %.230s", PyString_AS_STRING(name));
+ #else
+ "cannot import name %S", name);
+ #endif
+ }
+ return value;
+}
+
static PyObject *__Pyx_CalculateMetaclass(PyTypeObject *metaclass, PyObject *bases) {
Py_ssize_t i, nbases = PyTuple_GET_SIZE(bases);
for (i=0; i < nbases; i++) {
diff --git a/netCDF4.egg-info/PKG-INFO b/netCDF4.egg-info/PKG-INFO
deleted file mode 100644
index b878864..0000000
--- a/netCDF4.egg-info/PKG-INFO
+++ /dev/null
@@ -1,20 +0,0 @@
-Metadata-Version: 1.1
-Name: netCDF4
-Version: 1.1.4.1
-Summary: Provides an object-oriented python interface to the netCDF version 4 library.
-Home-page: http://github.com/Unidata/netcdf4-python
-Author: Jeff Whitaker
-Author-email: jeffrey.s.whitaker at noaa.gov
-License: OSI Approved
-Download-URL: http://python.org/pypi/netCDF4
-Description: netCDF version 4 has many features not found in earlier versions of the library, such as hierarchical groups, zlib compression, multiple unlimited dimensions, and new data types. It is implemented on top of HDF5. This module implements most of the new features, and can read and write netCDF files compatible with older versions of the library. The API is modelled after Scientific.IO.NetCDF, and should be familiar to users of that module.
-
- This project has a `Subversion repository <http://code.google.com/p/netcdf4-python/source>`_ where you may access the most up-to-date source.
-Keywords: numpy,netcdf,data,science,network,oceanography,meteorology,climate
-Platform: any
-Classifier: Development Status :: 3 - Alpha
-Classifier: Intended Audience :: Science/Research
-Classifier: License :: OSI Approved
-Classifier: Topic :: Software Development :: Libraries :: Python Modules
-Classifier: Topic :: System :: Archiving :: Compression
-Classifier: Operating System :: OS Independent
diff --git a/netCDF4.egg-info/SOURCES.txt b/netCDF4.egg-info/SOURCES.txt
deleted file mode 100644
index b77580b..0000000
--- a/netCDF4.egg-info/SOURCES.txt
+++ /dev/null
@@ -1,94 +0,0 @@
-COPYING
-Changelog
-MANIFEST.in
-README.macosx
-README.md
-constants.pyx
-netCDF4.c
-netCDF4.pxi
-netCDF4.pyx
-netCDF4_utils.py
-setup.cfg.template
-setup.py
-utils.pyx
-docs/api-objects.txt
-docs/class-tree.html
-docs/crarr.png
-docs/epydoc.css
-docs/epydoc.js
-docs/help.html
-docs/identifier-index.html
-docs/index.html
-docs/module-tree.html
-docs/netCDF3-module.html
-docs/netCDF3.Dataset-class.html
-docs/netCDF3.Dimension-class.html
-docs/netCDF3.MFDataset-class.html
-docs/netCDF3.Variable-class.html
-docs/netCDF4-module.html
-docs/netCDF4.CompoundType-class.html
-docs/netCDF4.Dataset-class.html
-docs/netCDF4.Dimension-class.html
-docs/netCDF4.Group-class.html
-docs/netCDF4.MFDataset-class.html
-docs/netCDF4.MFTime-class.html
-docs/netCDF4.VLType-class.html
-docs/netCDF4.Variable-class.html
-docs/netcdftime.netcdftime-module.html
-docs/netcdftime.netcdftime-pysrc.html
-docs/netcdftime.netcdftime.datetime-class.html
-docs/netcdftime.netcdftime.utime-class.html
-docs/redirect.html
-examples/bench.py
-examples/bench_compress.py
-examples/bench_compress2.py
-examples/bench_compress3.py
-examples/bench_diskless.py
-examples/test_stringarr.py
-examples/tutorial.py
-netCDF4.egg-info/PKG-INFO
-netCDF4.egg-info/SOURCES.txt
-netCDF4.egg-info/dependency_links.txt
-netCDF4.egg-info/requires.txt
-netCDF4.egg-info/top_level.txt
-netcdftime/__init__.py
-netcdftime/_datetime.c
-netcdftime/_datetime.pyx
-netcdftime/netcdftime.py
-ports/README
-ports/python/py-netcdf4/Portfile
-test/run_all.py
-test/tst_atts.py
-test/tst_compound_alignment.py
-test/tst_compoundatt.py
-test/tst_compoundvar.py
-test/tst_compression.py
-test/tst_dap.py
-test/tst_dims.py
-test/tst_diskless.py
-test/tst_endian.py
-test/tst_fancyslicing.py
-test/tst_grps.py
-test/tst_masked.py
-test/tst_masked2.py
-test/tst_masked3.py
-test/tst_multifile.py
-test/tst_multifile2.py
-test/tst_netcdftime.py
-test/tst_refcount.py
-test/tst_rename.py
-test/tst_scalarvar.py
-test/tst_scaled.py
-test/tst_shape.py
-test/tst_slicing.py
-test/tst_stringarr.py
-test/tst_types.py
-test/tst_unicode.py
-test/tst_unicode3.py
-test/tst_unlimdim.py
-test/tst_utils.py
-test/tst_vars.py
-test/tst_vlen.py
-utils/nc3tonc4
-utils/nc4tonc3
-utils/ncinfo
\ No newline at end of file
diff --git a/netCDF4.egg-info/dependency_links.txt b/netCDF4.egg-info/dependency_links.txt
deleted file mode 100644
index 8b13789..0000000
--- a/netCDF4.egg-info/dependency_links.txt
+++ /dev/null
@@ -1 +0,0 @@
-
diff --git a/netCDF4.egg-info/requires.txt b/netCDF4.egg-info/requires.txt
deleted file mode 100644
index f090cd2..0000000
--- a/netCDF4.egg-info/requires.txt
+++ /dev/null
@@ -1 +0,0 @@
-numpy>=1.3
diff --git a/netCDF4.egg-info/top_level.txt b/netCDF4.egg-info/top_level.txt
deleted file mode 100644
index d823084..0000000
--- a/netCDF4.egg-info/top_level.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-netCDF4
-netCDF4_utils
-netcdftime
diff --git a/netCDF4.pxi b/netCDF4.pxi
index 20a7345..fe3e956 100644
--- a/netCDF4.pxi
+++ b/netCDF4.pxi
@@ -236,20 +236,20 @@ cdef extern from "netcdf.h":
NC_ENDIAN_BIG
NC_SZIP_EC_OPTION_MASK # entropy encoding
NC_SZIP_NN_OPTION_MASK # nearest neighbor encoding
- const_char_ptr *nc_inq_libvers()
+ const_char_ptr *nc_inq_libvers() nogil
const_char_ptr *nc_strerror(int ncerr)
int nc_create(char *path, int cmode, int *ncidp)
int nc__create(char *path, int cmode, size_t initialsz, size_t *chunksizehintp, int *ncidp)
int nc_open(char *path, int mode, int *ncidp)
int nc__open(char *path, int mode, size_t *chunksizehintp, int *ncidp)
- int nc_inq_path(int ncid, size_t *pathlen, char *path)
- int nc_inq_format_extended(int ncid, int *formatp, int* modep)
- int nc_inq_ncid(int ncid, char *name, int *grp_ncid)
- int nc_inq_grps(int ncid, int *numgrps, int *ncids)
- int nc_inq_grpname(int ncid, char *name)
- int nc_inq_grp_parent(int ncid, int *parent_ncid)
- int nc_inq_varids(int ncid, int *nvars, int *varids)
- int nc_inq_dimids(int ncid, int *ndims, int *dimids, int include_parents)
+ int nc_inq_path(int ncid, size_t *pathlen, char *path) nogil
+ int nc_inq_format_extended(int ncid, int *formatp, int* modep) nogil
+ int nc_inq_ncid(int ncid, char *name, int *grp_ncid) nogil
+ int nc_inq_grps(int ncid, int *numgrps, int *ncids) nogil
+ int nc_inq_grpname(int ncid, char *name) nogil
+ int nc_inq_grp_parent(int ncid, int *parent_ncid) nogil
+ int nc_inq_varids(int ncid, int *nvars, int *varids) nogil
+ int nc_inq_dimids(int ncid, int *ndims, int *dimids, int include_parents) nogil
int nc_def_grp(int parent_ncid, char *name, int *new_ncid)
int nc_def_compound(int ncid, size_t size, char *name, nc_type *typeidp)
int nc_insert_compound(int ncid, nc_type xtype, char *name,
@@ -257,37 +257,37 @@ cdef extern from "netcdf.h":
int nc_insert_array_compound(int ncid, nc_type xtype, char *name,
size_t offset, nc_type field_typeid,
int ndims, int *dim_sizes)
- int nc_inq_type(int ncid, nc_type xtype, char *name, size_t *size)
+ int nc_inq_type(int ncid, nc_type xtype, char *name, size_t *size) nogil
int nc_inq_compound(int ncid, nc_type xtype, char *name, size_t *size,
- size_t *nfieldsp)
- int nc_inq_compound_name(int ncid, nc_type xtype, char *name)
- int nc_inq_compound_size(int ncid, nc_type xtype, size_t *size)
- int nc_inq_compound_nfields(int ncid, nc_type xtype, size_t *nfieldsp)
+ size_t *nfieldsp) nogil
+ int nc_inq_compound_name(int ncid, nc_type xtype, char *name) nogil
+ int nc_inq_compound_size(int ncid, nc_type xtype, size_t *size) nogil
+ int nc_inq_compound_nfields(int ncid, nc_type xtype, size_t *nfieldsp) nogil
int nc_inq_compound_field(int ncid, nc_type xtype, int fieldid, char *name,
size_t *offsetp, nc_type *field_typeidp, int *ndimsp,
- int *dim_sizesp)
+ int *dim_sizesp) nogil
int nc_inq_compound_fieldname(int ncid, nc_type xtype, int fieldid,
- char *name)
+ char *name) nogil
int nc_inq_compound_fieldindex(int ncid, nc_type xtype, char *name,
- int *fieldidp)
+ int *fieldidp) nogil
int nc_inq_compound_fieldoffset(int ncid, nc_type xtype, int fieldid,
- size_t *offsetp)
+ size_t *offsetp) nogil
int nc_inq_compound_fieldtype(int ncid, nc_type xtype, int fieldid,
- nc_type *field_typeidp)
+ nc_type *field_typeidp) nogil
int nc_inq_compound_fieldndims(int ncid, nc_type xtype, int fieldid,
- int *ndimsp)
+ int *ndimsp) nogil
int nc_inq_compound_fielddim_sizes(int ncid, nc_type xtype, int fieldid,
- int *dim_sizes)
+ int *dim_sizes) nogil
int nc_def_vlen(int ncid, char *name, nc_type base_typeid, nc_type *xtypep)
int nc_inq_vlen(int ncid, nc_type xtype, char *name, size_t *datum_sizep,
- nc_type *base_nc_typep)
+ nc_type *base_nc_typep) nogil
int nc_inq_user_type(int ncid, nc_type xtype, char *name, size_t *size,
- nc_type *base_nc_typep, size_t *nfieldsp, int *classp)
- int nc_inq_typeids(int ncid, int *ntypes, int *typeids)
+ nc_type *base_nc_typep, size_t *nfieldsp, int *classp) nogil
+ int nc_inq_typeids(int ncid, int *ntypes, int *typeids) nogil
int nc_put_att(int ncid, int varid, char *name, nc_type xtype,
size_t len, void *op)
- int nc_get_att(int ncid, int varid, char *name, void *ip)
- int nc_get_att_string(int ncid, int varid, char *name, char **ip)
+ int nc_get_att(int ncid, int varid, char *name, void *ip) nogil
+ int nc_get_att_string(int ncid, int varid, char *name, char **ip) nogil
int nc_def_opaque(int ncid, size_t size, char *name, nc_type *xtypep)
int nc_inq_opaque(int ncid, nc_type xtype, char *name, size_t *sizep)
int nc_put_att_opaque(int ncid, int varid, char *name,
@@ -303,15 +303,15 @@ cdef extern from "netcdf.h":
int nc_get_var1(int ncid, int varid, size_t *indexp,
void *ip)
int nc_put_vara(int ncid, int varid, size_t *startp,
- size_t *countp, void *op)
+ size_t *countp, void *op)
int nc_get_vara(int ncid, int varid, size_t *startp,
- size_t *countp, void *ip)
+ size_t *countp, void *ip) nogil
int nc_put_vars(int ncid, int varid, size_t *startp,
size_t *countp, ptrdiff_t *stridep,
- void *op)
+ void *op)
int nc_get_vars(int ncid, int varid, size_t *startp,
size_t *countp, ptrdiff_t *stridep,
- void *ip)
+ void *ip) nogil
int nc_put_varm(int ncid, int varid, size_t *startp,
size_t *countp, ptrdiff_t *stridep,
ptrdiff_t *imapp, void *op)
@@ -323,15 +323,15 @@ cdef extern from "netcdf.h":
int nc_def_var_deflate(int ncid, int varid, int shuffle, int deflate,
int deflate_level)
int nc_def_var_fletcher32(int ncid, int varid, int fletcher32)
- int nc_inq_var_fletcher32(int ncid, int varid, int *fletcher32p)
+ int nc_inq_var_fletcher32(int ncid, int varid, int *fletcher32p) nogil
int nc_def_var_chunking(int ncid, int varid, int contiguous, size_t *chunksizesp)
int nc_def_var_fill(int ncid, int varid, int no_fill, void *fill_value)
int nc_def_var_endian(int ncid, int varid, int endian)
- int nc_inq_var_chunking(int ncid, int varid, int *contiguousp, size_t *chunksizesp)
+ int nc_inq_var_chunking(int ncid, int varid, int *contiguousp, size_t *chunksizesp) nogil
int nc_inq_var_deflate(int ncid, int varid, int *shufflep,
- int *deflatep, int *deflate_levelp)
- int nc_inq_var_fill(int ncid, int varid, int *no_fill, void *fill_value)
- int nc_inq_var_endian(int ncid, int varid, int *endianp)
+ int *deflatep, int *deflate_levelp) nogil
+ int nc_inq_var_fill(int ncid, int varid, int *no_fill, void *fill_value) nogil
+ int nc_inq_var_endian(int ncid, int varid, int *endianp) nogil
int nc_set_fill(int ncid, int fillmode, int *old_modep)
int nc_set_default_format(int format, int *old_formatp)
int nc_redef(int ncid)
@@ -341,32 +341,31 @@ cdef extern from "netcdf.h":
int nc_sync(int ncid)
int nc_abort(int ncid)
int nc_close(int ncid)
- int nc_inq(int ncid, int *ndimsp, int *nvarsp, int *nattsp, int *unlimdimidp)
- int nc_inq_ndims(int ncid, int *ndimsp)
- int nc_inq_nvars(int ncid, int *nvarsp)
- int nc_inq_natts(int ncid, int *nattsp)
- int nc_inq_unlimdim(int ncid, int *unlimdimidp)
- int nc_inq_unlimdims(int ncid, int *nunlimdimsp, int *unlimdimidsp)
- int nc_inq_format(int ncid, int *formatp)
+ int nc_inq(int ncid, int *ndimsp, int *nvarsp, int *nattsp, int *unlimdimidp) nogil
+ int nc_inq_ndims(int ncid, int *ndimsp) nogil
+ int nc_inq_nvars(int ncid, int *nvarsp) nogil
+ int nc_inq_natts(int ncid, int *nattsp) nogil
+ int nc_inq_unlimdim(int ncid, int *unlimdimidp) nogil
+ int nc_inq_unlimdims(int ncid, int *nunlimdimsp, int *unlimdimidsp) nogil
+ int nc_inq_format(int ncid, int *formatp) nogil
int nc_def_dim(int ncid, char *name, size_t len, int *idp)
- int nc_inq_dimid(int ncid, char *name, int *idp)
- int nc_inq_dim(int ncid, int dimid, char *name, size_t *lenp)
- int nc_inq_dimname(int ncid, int dimid, char *name)
- int nc_inq_dimlen(int ncid, int dimid, size_t *lenp)
+ int nc_inq_dimid(int ncid, char *name, int *idp) nogil
+ int nc_inq_dim(int ncid, int dimid, char *name, size_t *lenp) nogil
+ int nc_inq_dimname(int ncid, int dimid, char *name) nogil
+ int nc_inq_dimlen(int ncid, int dimid, size_t *lenp) nogil
int nc_rename_dim(int ncid, int dimid, char *name)
int nc_inq_att(int ncid, int varid, char *name,
- nc_type *xtypep, size_t *lenp)
- int nc_inq_attid(int ncid, int varid, char *name, int *idp)
- int nc_inq_atttype(int ncid, int varid, char *name, nc_type *xtypep)
- int nc_inq_attlen(int ncid, int varid, char *name, size_t *lenp)
- int nc_inq_attname(int ncid, int varid, int attnum, char *name)
+ nc_type *xtypep, size_t *lenp) nogil
+ int nc_inq_attid(int ncid, int varid, char *name, int *idp) nogil
+ int nc_inq_atttype(int ncid, int varid, char *name, nc_type *xtypep) nogil
+ int nc_inq_attlen(int ncid, int varid, char *name, size_t *lenp) nogil
+ int nc_inq_attname(int ncid, int varid, int attnum, char *name) nogil
int nc_copy_att(int ncid_in, int varid_in, char *name, int ncid_out, int varid_out)
int nc_rename_att(int ncid, int varid, char *name, char *newname)
int nc_del_att(int ncid, int varid, char *name)
int nc_put_att_text(int ncid, int varid, char *name,
size_t len, char *op)
- int nc_get_att_text(int ncid, int varid, char *name, char *ip)
- int nc_get_att_string(int ncid, int varid, char *name, char **ip)
+ int nc_get_att_text(int ncid, int varid, char *name, char *ip) nogil
int nc_put_att_uchar(int ncid, int varid, char *name, nc_type xtype,
size_t len, unsigned char *op)
int nc_get_att_uchar(int ncid, int varid, char *name, unsigned char *ip)
@@ -404,13 +403,13 @@ cdef extern from "netcdf.h":
int nc_def_var(int ncid, char *name, nc_type xtype, int ndims,
int *dimidsp, int *varidp)
int nc_inq_var(int ncid, int varid, char *name, nc_type *xtypep,
- int *ndimsp, int *dimidsp, int *nattsp)
- int nc_inq_varid(int ncid, char *name, int *varidp)
- int nc_inq_varname(int ncid, int varid, char *name)
- int nc_inq_vartype(int ncid, int varid, nc_type *xtypep)
- int nc_inq_varndims(int ncid, int varid, int *ndimsp)
- int nc_inq_vardimid(int ncid, int varid, int *dimidsp)
- int nc_inq_varnatts(int ncid, int varid, int *nattsp)
+ int *ndimsp, int *dimidsp, int *nattsp) nogil
+ int nc_inq_varid(int ncid, char *name, int *varidp) nogil
+ int nc_inq_varname(int ncid, int varid, char *name) nogil
+ int nc_inq_vartype(int ncid, int varid, nc_type *xtypep) nogil
+ int nc_inq_varndims(int ncid, int varid, int *ndimsp) nogil
+ int nc_inq_vardimid(int ncid, int varid, int *dimidsp) nogil
+ int nc_inq_varnatts(int ncid, int varid, int *nattsp) nogil
int nc_rename_var(int ncid, int varid, char *name)
int nc_copy_var(int ncid_in, int varid, int ncid_out)
int nc_put_var1_text(int ncid, int varid, size_t *indexp, char *op)
@@ -697,7 +696,7 @@ cdef extern from "netcdf.h":
int nc_set_chunk_cache(size_t size, size_t nelems, float preemption)
int nc_get_chunk_cache(size_t *sizep, size_t *nelemsp, float *preemptionp)
int nc_set_var_chunk_cache(int ncid, int varid, size_t size, size_t nelems, float preemption)
- int nc_get_var_chunk_cache(int ncid, int varid, size_t *sizep, size_t *nelemsp, float *preemptionp)
+ int nc_get_var_chunk_cache(int ncid, int varid, size_t *sizep, size_t *nelemsp, float *preemptionp) nogil
int nc_rename_grp(int grpid, char *name)
# taken from numpy.pxi in numpy 1.0rc2.
diff --git a/netCDF4.pyx b/netCDF4.pyx
index d4265d5..90b30b4 100644
--- a/netCDF4.pyx
+++ b/netCDF4.pyx
@@ -34,7 +34,7 @@ Requires
- Python 2.5 or later (python 3 works too).
- numpy array module U{http://numpy.scipy.org}, version 1.3.0 or later (1.5.1
or higher recommended, required if using python 3).
- - U{Cython <http://cython.org>} is optional - if it is installed setup.py will
+ - U{Cython <http://cython.org>}, version 0.19 or later, is optional - if it is installed setup.py will
use it to recompile the Cython source code into C, using conditional compilation
to enable features in the netCDF API that have been added since version 4.1.1. If
Cython is not installed, these features (such as the ability to rename Group objects)
@@ -63,42 +63,16 @@ Install
- install the requisite python modules and C libraries (see above). It's
easiest if all the C libs are built as shared libraries.
- - optionally, set the C{HDF5_DIR} environment variable to point to where HDF5
- is installed (the libs in C{$HDF5_DIR/lib}, the headers in
- C{$HDF5_DIR/include}). If the headers and libs are installed in different
- places, you can use C{HDF5_INCDIR} and C{HDF5_LIBDIR} to define the locations
- of the headers and libraries independently.
- - optionally, set the C{NETCDF4_DIR} (or C{NETCDF4_INCDIR} and C{NETCDF4_LIBDIR})
- environment variable(s) to point to
- where the netCDF version 4 library and headers are installed.
- - If the locations of the HDF5 and netCDF libs and headers are not specified
- with environment variables, some standard locations will be searched.
- - if HDF5 was built as a static library with U{szip
- <http://www.hdfgroup.org/doc_resource/SZIP/>} support,
- you may also need to set the C{SZIP_DIR} (or C{SZIP_INCDIR} and C{SZIP_LIBDIR})
- environment variable(s) to point to where szip is installed. Note that
- the netCDF library does not support creating szip compressed files, but can read szip
- compressed files if the HDF5 lib is configured to support szip.
- - if netCDF lib was built as a static library with HDF4 and/or OpenDAP
- support, you may also need to set C{HDF4_DIR}, C{JPEG_DIR} and/or
- C{CURL_DIR}.
- - Instead of using environment variables to specify the locations of the
- required libraries, you can either let setup.py try to auto-detect their
- locations, or use the file C{setup.cfg} to specify them. To use this
- method, copy the file C{setup.cfg.template} to C{setup.cfg},
- then open C{setup.cfg} in a text editor and follow the instructions in the
- comments for editing. If you use C{setup.cfg}, environment variables will be
- ignored.
- - If you are using netcdf 4.1.2 or higher, instead of setting all those
- enviroment variables defining where libs are installed, you can just set one
- environment variable, USE_NCCONFIG, to 1. This will tell python to run the
- netcdf nc-config utility to determine where all the dependencies live.
+ - By default, the utility C{nc-config}, installed with netcdf 4.1.2 or higher,
+ will be run used to determine where all the dependencies live.
+ - If C{nc-config} is not in your default C{PATH}, rename the
+ file C{setup.cfg.template} to C{setup.cfg}, then edit
+ in a text editor (follow the instructions in the comments).
+ In addition to specifying the path to C{nc-config},
+ you can manually set the paths to all the libraries and their include files
+ (in case C{nc-config} does not do the right thing).
- run C{python setup.py build}, then C{python setup.py install} (as root if
necessary).
- - If using environment variables to specify build options, be sure to run
- 'python setup.py build' *without* using sudo. sudo does not pass environment
- variables. If you run 'setup.py build' first without sudo, you can run
- 'setup.py install' with sudo.
- run the tests in the 'test' directory by running C{python run_all.py}.
Tutorial
@@ -811,7 +785,7 @@ except ImportError:
# python3: zip is already python2's itertools.izip
pass
-__version__ = "1.1.4"
+__version__ = "1.1.7"
# Initialize numpy
import posixpath
@@ -910,14 +884,17 @@ cdef _get_att_names(int grpid, int varid):
cdef int ierr, numatts, n
cdef char namstring[NC_MAX_NAME+1]
if varid == NC_GLOBAL:
- ierr = nc_inq_natts(grpid, &numatts)
+ with nogil:
+ ierr = nc_inq_natts(grpid, &numatts)
else:
- ierr = nc_inq_varnatts(grpid, varid, &numatts)
+ with nogil:
+ ierr = nc_inq_varnatts(grpid, varid, &numatts)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
attslist = []
for n from 0 <= n < numatts:
- ierr = nc_inq_attname(grpid, varid, n, namstring)
+ with nogil:
+ ierr = nc_inq_attname(grpid, varid, n, namstring)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
attslist.append(namstring.decode(default_encoding,unicode_error))
@@ -925,7 +902,7 @@ cdef _get_att_names(int grpid, int varid):
cdef _get_att(grp, int varid, name):
# Private function to get an attribute value given its name
- cdef int ierr, n
+ cdef int ierr, n, _grpid
cdef size_t att_len
cdef char *attname
cdef char *stratt
@@ -933,13 +910,16 @@ cdef _get_att(grp, int varid, name):
cdef ndarray value_arr
bytestr = _strencode(name)
attname = bytestr
- ierr = nc_inq_att(grp._grpid, varid, attname, &att_type, &att_len)
+ _grpid = grp._grpid
+ with nogil:
+ ierr = nc_inq_att(_grpid, varid, attname, &att_type, &att_len)
if ierr != NC_NOERR:
raise AttributeError((<char *>nc_strerror(ierr)).decode('ascii'))
# attribute is a character or string ...
if att_type == NC_CHAR:
value_arr = numpy.empty(att_len,'S1')
- ierr = nc_get_att_text(grp._grpid, varid, attname, <char *>value_arr.data)
+ with nogil:
+ ierr = nc_get_att_text(_grpid, varid, attname, <char *>value_arr.data)
if ierr != NC_NOERR:
raise AttributeError((<char *>nc_strerror(ierr)).decode('ascii'))
if name == '_FillValue' and python3:
@@ -952,7 +932,8 @@ cdef _get_att(grp, int varid, name):
return pstring
elif att_type == NC_STRING:
if att_len == 1:
- ierr = nc_get_att_string(grp._grpid, varid, attname, &stratt)
+ with nogil:
+ ierr = nc_get_att_string(_grpid, varid, attname, &stratt)
pstring = stratt.decode(default_encoding,unicode_error).replace('\x00','')
return pstring
else:
@@ -970,7 +951,8 @@ cdef _get_att(grp, int varid, name):
except:
raise KeyError('attribute %s has unsupported datatype' % attname)
value_arr = numpy.empty(att_len,type_att)
- ierr = nc_get_att(grp._grpid, varid, attname, value_arr.data)
+ with nogil:
+ ierr = nc_get_att(_grpid, varid, attname, value_arr.data)
if ierr != NC_NOERR:
raise AttributeError((<char *>nc_strerror(ierr)).decode('ascii'))
if value_arr.shape == ():
@@ -998,7 +980,8 @@ def _set_default_format(object format='NETCDF4'):
cdef _get_format(int grpid):
# Private function to get the netCDF file format
cdef int ierr, formatp
- ierr = nc_inq_format(grpid, &formatp)
+ with nogil:
+ ierr = nc_inq_format(grpid, &formatp)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
if formatp == NC_FORMAT_NETCDF4:
@@ -1014,7 +997,8 @@ cdef _get_full_format(int grpid):
# Private function to get the underlying disk format
cdef int ierr, formatp, modep
IF HAS_NC_INQ_FORMAT_EXTENDED:
- ierr = nc_inq_format_extended(grpid, &formatp, &modep)
+ with nogil:
+ ierr = nc_inq_format_extended(grpid, &formatp, &modep)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
if formatp == NC_FORMAT_NC3:
@@ -1082,12 +1066,14 @@ cdef _set_att(grp, int varid, name, value):
cdef _get_types(group):
# Private function to create L{CompoundType} or L{VLType} instances for all the
# compound or VLEN types in a L{Group} or L{Dataset}.
- cdef int ierr, ntypes, classp, n
+ cdef int ierr, ntypes, classp, n, _grpid
cdef nc_type xtype
cdef nc_type typeids[NC_MAX_VARS]
cdef char namstring[NC_MAX_NAME+1]
+ _grpid = group._grpid
# get the number of user defined types in this group.
- ierr = nc_inq_typeids(group._grpid, &ntypes, typeids)
+ with nogil:
+ ierr = nc_inq_typeids(_grpid, &ntypes, typeids)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
# create empty dictionary for CompoundType instances.
@@ -1096,8 +1082,9 @@ cdef _get_types(group):
if ntypes > 0:
for n from 0 <= n < ntypes:
xtype = typeids[n]
- ierr = nc_inq_user_type(group._grpid, xtype, namstring,
- NULL,NULL,NULL,&classp)
+ with nogil:
+ ierr = nc_inq_user_type(_grpid, xtype, namstring,
+ NULL,NULL,NULL,&classp)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
if classp == NC_COMPOUND: # a compound
@@ -1126,25 +1113,29 @@ cdef _get_types(group):
cdef _get_dims(group):
# Private function to create L{Dimension} instances for all the
# dimensions in a L{Group} or Dataset
- cdef int ierr, numdims, n
+ cdef int ierr, numdims, n, _grpid
cdef int dimids[NC_MAX_DIMS]
cdef char namstring[NC_MAX_NAME+1]
# get number of dimensions in this Group.
- ierr = nc_inq_ndims(group._grpid, &numdims)
+ _grpid = group._grpid
+ with nogil:
+ ierr = nc_inq_ndims(_grpid, &numdims)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
# create empty dictionary for dimensions.
dimensions = OrderedDict()
if numdims > 0:
if group.data_model == 'NETCDF4':
- ierr = nc_inq_dimids(group._grpid, &numdims, dimids, 0)
+ with nogil:
+ ierr = nc_inq_dimids(_grpid, &numdims, dimids, 0)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
else:
for n from 0 <= n < numdims:
dimids[n] = n
for n from 0 <= n < numdims:
- ierr = nc_inq_dimname(group._grpid, dimids[n], namstring)
+ with nogil:
+ ierr = nc_inq_dimname(_grpid, dimids[n], namstring)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
name = namstring.decode(default_encoding,unicode_error)
@@ -1154,33 +1145,37 @@ cdef _get_dims(group):
cdef _get_grps(group):
# Private function to create L{Group} instances for all the
# groups in a L{Group} or Dataset
- cdef int ierr, numgrps, n
+ cdef int ierr, numgrps, n, _grpid
cdef int *grpids
cdef char namstring[NC_MAX_NAME+1]
# get number of groups in this Group.
- ierr = nc_inq_grps(group._grpid, &numgrps, NULL)
+ _grpid = group._grpid
+ with nogil:
+ ierr = nc_inq_grps(_grpid, &numgrps, NULL)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
# create dictionary containing L{Group} instances for groups in this group
groups = OrderedDict()
if numgrps > 0:
grpids = <int *>malloc(sizeof(int) * numgrps)
- ierr = nc_inq_grps(group._grpid, NULL, grpids)
+ with nogil:
+ ierr = nc_inq_grps(_grpid, NULL, grpids)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
for n from 0 <= n < numgrps:
- ierr = nc_inq_grpname(grpids[n], namstring)
- if ierr != NC_NOERR:
- raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
- name = namstring.decode(default_encoding,unicode_error)
- groups[name] = Group(group, name, id=grpids[n])
+ with nogil:
+ ierr = nc_inq_grpname(grpids[n], namstring)
+ if ierr != NC_NOERR:
+ raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ name = namstring.decode(default_encoding,unicode_error)
+ groups[name] = Group(group, name, id=grpids[n])
free(grpids)
return groups
cdef _get_vars(group):
# Private function to create L{Variable} instances for all the
# variables in a L{Group} or Dataset
- cdef int ierr, numvars, n, nn, numdims, varid, classp
+ cdef int ierr, numvars, n, nn, numdims, varid, classp, iendian, _grpid
cdef int *varids
cdef int dim_sizes[NC_MAX_DIMS]
cdef int dimids[NC_MAX_DIMS]
@@ -1188,7 +1183,9 @@ cdef _get_vars(group):
cdef char namstring[NC_MAX_NAME+1]
cdef char namstring_cmp[NC_MAX_NAME+1]
# get number of variables in this Group.
- ierr = nc_inq_nvars(group._grpid, &numvars)
+ _grpid = group._grpid
+ with nogil:
+ ierr = nc_inq_nvars(_grpid, &numvars)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
# create empty dictionary for variables.
@@ -1197,7 +1194,8 @@ cdef _get_vars(group):
# get variable ids.
varids = <int *>malloc(sizeof(int) * numvars)
if group.data_model == 'NETCDF4':
- ierr = nc_inq_varids(group._grpid, &numvars, varids)
+ with nogil:
+ ierr = nc_inq_varids(_grpid, &numvars, varids)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
else:
@@ -1207,36 +1205,50 @@ cdef _get_vars(group):
for n from 0 <= n < numvars:
varid = varids[n]
# get variable name.
- ierr = nc_inq_varname(group._grpid, varid, namstring)
+ with nogil:
+ ierr = nc_inq_varname(_grpid, varid, namstring)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
name = namstring.decode(default_encoding,unicode_error)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
# get variable type.
- ierr = nc_inq_vartype(group._grpid, varid, &xtype)
+ with nogil:
+ ierr = nc_inq_vartype(_grpid, varid, &xtype)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ # get endian-ness of variable.
+ endianness = None
+ with nogil:
+ ierr = nc_inq_var_endian(_grpid, varid, &iendian)
+ if ierr == NC_NOERR:
+ if iendian == NC_ENDIAN_LITTLE:
+ endianness = '<'
+ elif iendian == NC_ENDIAN_BIG:
+ endianness = '>'
# check to see if it is a supported user-defined type.
try:
datatype = _nctonptype[xtype]
+ if endianness is not None:
+ datatype = endianness + datatype
except KeyError:
if xtype == NC_STRING:
datatype = str
else:
- ierr = nc_inq_user_type(group._grpid, xtype, namstring_cmp,
- NULL, NULL, NULL, &classp)
+ with nogil:
+ ierr = nc_inq_user_type(_grpid, xtype, namstring_cmp,
+ NULL, NULL, NULL, &classp)
if classp == NC_COMPOUND: # a compound type
# create CompoundType instance describing this compound type.
try:
- datatype = _read_compound(group, xtype)
+ datatype = _read_compound(group, xtype, endian=endianness)
except KeyError:
#print "WARNING: variable '%s' has unsupported compound datatype, skipping .." % name
continue
elif classp == NC_VLEN: # a compound type
# create VLType instance describing this compound type.
try:
- datatype = _read_vlen(group, xtype)
+ datatype = _read_vlen(group, xtype, endian=endianness)
except KeyError:
#print "WARNING: variable '%s' has unsupported VLEN datatype, skipping .." % name
continue
@@ -1244,11 +1256,13 @@ cdef _get_vars(group):
#print "WARNING: variable '%s' has unsupported datatype, skipping .." % name
continue
# get number of dimensions.
- ierr = nc_inq_varndims(group._grpid, varid, &numdims)
+ with nogil:
+ ierr = nc_inq_varndims(_grpid, varid, &numdims)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
# get dimension ids.
- ierr = nc_inq_vardimid(group._grpid, varid, dimids)
+ with nogil:
+ ierr = nc_inq_vardimid(_grpid, varid, dimids)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
# loop over dimensions, retrieve names.
@@ -1268,7 +1282,12 @@ cdef _get_vars(group):
break
grp = grp.parent
# create new variable instance.
- variables[name] = Variable(group, name, datatype, dimensions, id=varid)
+ if endianness == '>':
+ variables[name] = Variable(group, name, datatype, dimensions, id=varid, endian='big')
+ elif endianness == '<':
+ variables[name] = Variable(group, name, datatype, dimensions, id=varid, endian='little')
+ else:
+ variables[name] = Variable(group, name, datatype, dimensions, id=varid)
free(varids) # free pointer holding variable ids.
return variables
@@ -1516,7 +1535,8 @@ open/create the Dataset. Requires netcdf >= 4.1.2"""
cdef size_t pathlen
cdef char path[NC_MAX_NAME + 1]
IF HAS_NC_INQ_PATH:
- ierr = nc_inq_path(self._grpid, &pathlen, path)
+ with nogil:
+ ierr = nc_inq_path(self._grpid, &pathlen, path)
return path.decode('ascii')
ELSE:
msg = """
@@ -2141,7 +2161,8 @@ instances, raises IOError."""
# private method to get name associated with instance.
cdef int err
cdef char namstring[NC_MAX_NAME+1]
- ierr = nc_inq_grpname(self._grp._grpid, namstring)
+ with nogil:
+ ierr = nc_inq_grpname(self._grpid, namstring)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
return namstring.decode(default_encoding,unicode_error)
@@ -2216,9 +2237,11 @@ determine if the dimension is unlimited"""
def _getname(self):
# private method to get name associated with instance.
- cdef int err
+ cdef int err, _grpid
cdef char namstring[NC_MAX_NAME+1]
- ierr = nc_inq_dimname(self._grp._grpid, self._dimid, namstring)
+ _grpid = self._grp._grpid
+ with nogil:
+ ierr = nc_inq_dimname(_grpid, self._dimid, namstring)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
return namstring.decode(default_encoding,unicode_error)
@@ -2248,7 +2271,8 @@ determine if the dimension is unlimited"""
# len(L{Dimension} instance) returns current size of dimension
cdef int ierr
cdef size_t lengthp
- ierr = nc_inq_dimlen(self._grpid, self._dimid, &lengthp)
+ with nogil:
+ ierr = nc_inq_dimlen(self._grpid, self._dimid, &lengthp)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
return lengthp
@@ -2275,7 +2299,8 @@ returns C{True} if the L{Dimension} instance is unlimited, C{False} otherwise.""
return False
else:
dimid = self._dimid
- ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, unlimdimids)
+ with nogil:
+ ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, unlimdimids)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
unlimdim_ids = []
@@ -2287,7 +2312,8 @@ returns C{True} if the L{Dimension} instance is unlimited, C{False} otherwise.""
return False
else: # if not NETCDF4, there is only one unlimited dimension.
# nc_inq_unlimdims only works for NETCDF4.
- ierr = nc_inq(self._grpid, &ndims, &nvars, &ngatts, &xdimid)
+ with nogil:
+ ierr = nc_inq(self._grpid, &ndims, &nvars, &ngatts, &xdimid)
if self._dimid == xdimid:
return True
else:
@@ -2432,7 +2458,7 @@ instance. If C{None}, the data is not truncated. """
complevel=4, shuffle=True, fletcher32=False, contiguous=False,
chunksizes=None, endian='native', least_significant_digit=None,
fill_value=None, chunk_cache=None, **kwargs):
- cdef int ierr, ndims, icontiguous, ideflate_level, numdims
+ cdef int ierr, ndims, icontiguous, ideflate_level, numdims, _grpid
cdef char *varname
cdef nc_type xtype
cdef int dimids[NC_MAX_DIMS]
@@ -2473,11 +2499,14 @@ instance. If C{None}, the data is not truncated. """
if dtype_endian == '<': dtype_endian='little'
if dtype_endian == '|': dtype_endian=None
if dtype_endian is not None and dtype_endian != endian:
- # endian keyword prevails, issue warning
- msg = 'endian-ness of dtype and endian kwarg do not match, using endian kwarg'
- #msg = 'endian-ness of dtype and endian kwarg do not match, dtype over-riding endian kwarg'
- warnings.warn(msg)
- #endian = dtype_endian # dtype prevails
+ if dtype_endian == 'native' and endian == sys.byteorder:
+ pass
+ else:
+ # endian keyword prevails, issue warning
+ msg = 'endian-ness of dtype and endian kwarg do not match, using endian kwarg'
+ #msg = 'endian-ness of dtype and endian kwarg do not match, dtype over-riding endian kwarg'
+ warnings.warn(msg)
+ #endian = dtype_endian # dtype prevails
# check validity of datatype.
self._isprimitive = False
self._iscompound = False
@@ -2651,7 +2680,8 @@ instance. If C{None}, the data is not truncated. """
dim = _find_dim(self._grp, dimname)
if dim.isunlimited(): self._nunlimdim = self._nunlimdim + 1
# set ndim attribute (number of dimensions).
- ierr = nc_inq_varndims(self._grpid, self._varid, &numdims)
+ with nogil:
+ ierr = nc_inq_varndims(self._grpid, self._varid, &numdims)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
self.ndim = numdims
@@ -2703,7 +2733,8 @@ instance. If C{None}, the data is not truncated. """
if (self._grp.path != '/'): ncdump_var.append('path = %s\n' % self._grp.path)
ncdump_var.append('unlimited dimensions: %s\n' % ', '.join(unlimdims))
ncdump_var.append('current shape = %s\n' % repr(self.shape))
- ierr = nc_inq_var_fill(self._grpid,self._varid,&no_fill,NULL)
+ with nogil:
+ ierr = nc_inq_var_fill(self._grpid,self._varid,&no_fill,NULL)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
if self._isprimitive:
@@ -2730,17 +2761,20 @@ instance. If C{None}, the data is not truncated. """
cdef char namstring[NC_MAX_NAME+1]
cdef int dimids[NC_MAX_DIMS]
# get number of dimensions for this variable.
- ierr = nc_inq_varndims(self._grpid, self._varid, &numdims)
+ with nogil:
+ ierr = nc_inq_varndims(self._grpid, self._varid, &numdims)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
# get dimension ids.
- ierr = nc_inq_vardimid(self._grpid, self._varid, dimids)
+ with nogil:
+ ierr = nc_inq_vardimid(self._grpid, self._varid, dimids)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
# loop over dimensions, retrieve names.
dimensions = ()
for nn from 0 <= nn < numdims:
- ierr = nc_inq_dimname(self._grpid, dimids[nn], namstring)
+ with nogil:
+ ierr = nc_inq_dimname(self._grpid, dimids[nn], namstring)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
name = namstring.decode(default_encoding,unicode_error)
@@ -2749,9 +2783,11 @@ instance. If C{None}, the data is not truncated. """
def _getname(self):
# Private method to get name associated with instance
- cdef int err
+ cdef int err, _grpid
cdef char namstring[NC_MAX_NAME+1]
- ierr = nc_inq_varname(self._grp._grpid, self._varid, namstring)
+ _grpid = self._grp._grpid
+ with nogil:
+ ierr = nc_inq_varname(_grpid, self._varid, namstring)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
return namstring.decode(default_encoding,unicode_error)
@@ -2869,10 +2905,12 @@ return dictionary containing HDF5 filter parameters."""
cdef int ierr,ideflate,ishuffle,ideflate_level,ifletcher32
filtdict = {'zlib':False,'shuffle':False,'complevel':0,'fletcher32':False}
if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: return
- ierr = nc_inq_var_deflate(self._grpid, self._varid, &ishuffle, &ideflate, &ideflate_level)
+ with nogil:
+ ierr = nc_inq_var_deflate(self._grpid, self._varid, &ishuffle, &ideflate, &ideflate_level)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
- ierr = nc_inq_var_fletcher32(self._grpid, self._varid, &ifletcher32)
+ with nogil:
+ ierr = nc_inq_var_fletcher32(self._grpid, self._varid, &ifletcher32)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
if ideflate:
@@ -2892,7 +2930,8 @@ return endian-ness (little,big,native) of variable (as stored in HDF5 file)."""
cdef int ierr, iendian
if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']:
return 'native'
- ierr = nc_inq_var_endian(self._grpid, self._varid, &iendian)
+ with nogil:
+ ierr = nc_inq_var_endian(self._grpid, self._varid, &iendian)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
if iendian == NC_ENDIAN_LITTLE:
@@ -2915,7 +2954,8 @@ each dimension is returned."""
if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: return None
ndims = self.ndim
chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
- ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
+ with nogil:
+ ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
chunksizes=[]
@@ -2937,8 +2977,9 @@ details."""
cdef int ierr
cdef size_t sizep, nelemsp
cdef float preemptionp
- ierr = nc_get_var_chunk_cache(self._grpid, self._varid, &sizep,
- &nelemsp, &preemptionp)
+ with nogil:
+ ierr = nc_get_var_chunk_cache(self._grpid, self._varid, &sizep,
+ &nelemsp, &preemptionp)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
size = sizep; nelems = nelemsp; preemption = preemptionp
@@ -3128,7 +3169,7 @@ rename a L{Variable} attribute named C{oldname} to C{newname}."""
mval = numpy.array(self.missing_value, self.dtype)
if (self.endian() == 'big' and is_native_little) or\
(self.endian() == 'little' and is_native_big):
- mval.byteswap(True)
+ mval.byteswap(True)
if mval.shape == (): # mval a scalar.
hasmval = data==mval
# is scalar missing value a NaN?
@@ -3156,7 +3197,7 @@ rename a L{Variable} attribute named C{oldname} to C{newname}."""
# is not native.
if (self.endian() == 'big' and is_native_little) or\
(self.endian() == 'little' and is_native_big):
- fval.byteswap(True)
+ fval.byteswap(True)
# is _FillValue a NaN?
try:
fvalisnan = numpy.isnan(fval)
@@ -3175,37 +3216,38 @@ rename a L{Variable} attribute named C{oldname} to C{newname}."""
# issue 209: don't return masked array if variable filling
# is disabled.
else:
- ierr = nc_inq_var_fill(self._grpid,self._varid,&no_fill,NULL)
- if ierr != NC_NOERR:
- raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
- # if no_fill is not 1, and not a byte variable, then use default fill value.
- # from http://www.unidata.ucar.edu/software/netcdf/docs/netcdf-c/Fill-Values.html#Fill-Values
- # "If you need a fill value for a byte variable, it is recommended
- # that you explicitly define an appropriate _FillValue attribute, as
- # generic utilities such as ncdump will not assume a default fill
- # value for byte variables."
- # Explained here too:
- # http://www.unidata.ucar.edu/software/netcdf/docs/known_problems.html#ncdump_ubyte_fill
- # "There should be no default fill values when reading any byte
- # type, signed or unsigned, because the byte ranges are too
- # small to assume one of the values should appear as a missing
- # value unless a _FillValue attribute is set explicitly."
- if no_fill != 1 and self.dtype.str[1:] not in ['u1','i1']:
- fillval = numpy.array(default_fillvals[self.dtype.str[1:]],self.dtype)
- # byte swap the _FillValue if endian-ness of the variable
- # is not native.
- if (self.endian() == 'big' and is_native_little) or\
- (self.endian() == 'little' and is_native_big):
- fillval.byteswap(True)
- has_fillval = data == fillval
- # if data is an array scalar, has_fillval will be a boolean.
- # in that case convert to an array.
- if type(has_fillval) == bool: has_fillval=numpy.asarray(has_fillval)
- if has_fillval.any():
- mask=data==fillval
- if fill_value is None:
- fill_value = fillval
- totalmask += mask
+ with nogil:
+ ierr = nc_inq_var_fill(self._grpid,self._varid,&no_fill,NULL)
+ if ierr != NC_NOERR:
+ raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ # if no_fill is not 1, and not a byte variable, then use default fill value.
+ # from http://www.unidata.ucar.edu/software/netcdf/docs/netcdf-c/Fill-Values.html#Fill-Values
+ # "If you need a fill value for a byte variable, it is recommended
+ # that you explicitly define an appropriate _FillValue attribute, as
+ # generic utilities such as ncdump will not assume a default fill
+ # value for byte variables."
+ # Explained here too:
+ # http://www.unidata.ucar.edu/software/netcdf/docs/known_problems.html#ncdump_ubyte_fill
+ # "There should be no default fill values when reading any byte
+ # type, signed or unsigned, because the byte ranges are too
+ # small to assume one of the values should appear as a missing
+ # value unless a _FillValue attribute is set explicitly."
+ if no_fill != 1 and self.dtype.str[1:] not in ['u1','i1']:
+ fillval = numpy.array(default_fillvals[self.dtype.str[1:]],self.dtype)
+ # byte swap the _FillValue if endian-ness of the variable
+ # is not native.
+ if (self.endian() == 'big' and is_native_little) or\
+ (self.endian() == 'little' and is_native_big):
+ fillval.byteswap(True)
+ has_fillval = data == fillval
+ # if data is an array scalar, has_fillval will be a boolean.
+ # in that case convert to an array.
+ if type(has_fillval) == bool: has_fillval=numpy.asarray(has_fillval)
+ if has_fillval.any():
+ mask=data==fillval
+ if fill_value is None:
+ fill_value = fillval
+ totalmask += mask
# all values where data == missing_value or _FillValue are
# masked. fill_value set to missing_value if it exists,
# otherwise _FillValue.
@@ -3610,9 +3652,9 @@ The default value of C{mask} is C{True}
if sum(stride) == ndims or ndims == 0:
ierr = nc_put_vara(self._grpid, self._varid,
startp, countp, data.data)
- else:
+ else:
ierr = nc_put_vars(self._grpid, self._varid,
- startp, countp, stridep, data.data)
+ startp, countp, stridep, data.data)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
elif self._isvlen:
@@ -3716,11 +3758,13 @@ The default value of C{mask} is C{True}
data = numpy.empty(shapeout, self.dtype)
# strides all 1 or scalar variable, use get_vara (faster)
if sum(stride) == ndims or ndims == 0:
- ierr = nc_get_vara(self._grpid, self._varid,
- startp, countp, data.data)
+ with nogil:
+ ierr = nc_get_vara(self._grpid, self._varid,
+ startp, countp, data.data)
else:
- ierr = nc_get_vars(self._grpid, self._varid,
- startp, countp, stridep, data.data)
+ with nogil:
+ ierr = nc_get_vars(self._grpid, self._varid,
+ startp, countp, stridep, data.data)
if ierr == NC_EINVALCOORDS:
raise IndexError
elif ierr != NC_NOERR:
@@ -3737,8 +3781,9 @@ The default value of C{mask} is C{True}
strdata = <char **>malloc(sizeof(char *) * totelem)
# strides all 1 or scalar variable, use get_vara (faster)
if sum(stride) == ndims or ndims == 0:
- ierr = nc_get_vara(self._grpid, self._varid,
- startp, countp, strdata)
+ with nogil:
+ ierr = nc_get_vara(self._grpid, self._varid,
+ startp, countp, strdata)
else:
# FIXME: is this a bug in netCDF4?
raise IndexError('strides must all be 1 for string variables')
@@ -3761,8 +3806,9 @@ The default value of C{mask} is C{True}
vldata = <nc_vlen_t *>malloc(totelem*sizeof(nc_vlen_t))
# strides all 1 or scalar variable, use get_vara (faster)
if sum(stride) == ndims or ndims == 0:
- ierr = nc_get_vara(self._grpid, self._varid,
- startp, countp, vldata)
+ with nogil:
+ ierr = nc_get_vara(self._grpid, self._varid,
+ startp, countp, vldata)
else:
raise IndexError('strides must all be 1 for vlen variables')
#ierr = nc_get_vars(self._grpid, self._varid,
@@ -3953,20 +3999,22 @@ cdef _find_cmptype(grp, dtype):
xtype = _find_cmptype(parent_grp,dtype)
return xtype
-cdef _read_compound(group, nc_type xtype):
+cdef _read_compound(group, nc_type xtype, endian=None):
# read a compound data type id from an existing file,
# construct a corresponding numpy dtype instance,
# then use that to create a CompoundType instance.
# called by _get_vars, _get_types and _get_att.
# Calls itself recursively for nested compound types.
- cdef int ierr, nf, numdims, ndim, classp
+ cdef int ierr, nf, numdims, ndim, classp, _grpid
cdef size_t nfields, offset
cdef nc_type field_typeid
cdef int dim_sizes[NC_MAX_DIMS]
cdef char field_namstring[NC_MAX_NAME+1]
cdef char cmp_namstring[NC_MAX_NAME+1]
# get name and number of fields.
- ierr = nc_inq_compound(group._grpid, xtype, cmp_namstring, NULL, &nfields)
+ _grpid = group._grpid
+ with nogil:
+ ierr = nc_inq_compound(_grpid, xtype, cmp_namstring, NULL, &nfields)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
name = cmp_namstring.decode(default_encoding,unicode_error)
@@ -3975,14 +4023,15 @@ cdef _read_compound(group, nc_type xtype):
formats = []
offsets = []
for nf from 0 <= nf < nfields:
- ierr = nc_inq_compound_field(group._grpid,
- xtype,
- nf,
- field_namstring,
- &offset,
- &field_typeid,
- &numdims,
- dim_sizes)
+ with nogil:
+ ierr = nc_inq_compound_field(_grpid,
+ xtype,
+ nf,
+ field_namstring,
+ &offset,
+ &field_typeid,
+ &numdims,
+ dim_sizes)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
field_name = field_namstring.decode(default_encoding,unicode_error)
@@ -3996,12 +4045,15 @@ cdef _read_compound(group, nc_type xtype):
# check to see if this field is a nested compound type.
try:
field_type = _nctonptype[field_typeid]
+ if endian is not None:
+ format = endian + format
except KeyError:
- ierr = nc_inq_user_type(group._grpid,
- field_typeid,NULL,NULL,NULL,NULL,&classp)
+ with nogil:
+ ierr = nc_inq_user_type(_grpid,
+ field_typeid,NULL,NULL,NULL,NULL,&classp)
if classp == NC_COMPOUND: # a compound type
# recursively call this function?
- field_type = _read_compound(group, field_typeid)
+ field_type = _read_compound(group, field_typeid, endian=endian)
else:
raise KeyError('compound field of an unsupported data type')
if field_shape != ():
@@ -4105,25 +4157,29 @@ cdef _def_vlen(grp, object dt, object dtype_name):
raise KeyError("unsupported datatype specified for VLEN")
return xtype, dt
-cdef _read_vlen(group, nc_type xtype):
+cdef _read_vlen(group, nc_type xtype, endian=None):
# read a VLEN data type id from an existing file,
# construct a corresponding numpy dtype instance,
# then use that to create a VLType instance.
# called by _get_types, _get_vars.
- cdef int ierr
+ cdef int ierr, _grpid
cdef size_t vlsize
cdef nc_type base_xtype
cdef char vl_namstring[NC_MAX_NAME+1]
+ _grpid = group._grpid
if xtype == NC_STRING:
dt = str
name = None
else:
- ierr = nc_inq_vlen(group._grpid, xtype, vl_namstring, &vlsize, &base_xtype)
+ with nogil:
+ ierr = nc_inq_vlen(_grpid, xtype, vl_namstring, &vlsize, &base_xtype)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
name = vl_namstring.decode(default_encoding,unicode_error)
try:
- dt = numpy.dtype(_nctonptype[base_xtype]) # see if it is a primitive type
+ datatype = _nctonptype[base_xtype]
+ if endian is not None: datatype = endian + datatype
+ dt = numpy.dtype(datatype) # see if it is a primitive type
except KeyError:
raise KeyError("unsupported component type for VLEN")
return VLType(group, dt, name, typeid=xtype)
diff --git a/netCDF4_utils.py b/netCDF4_utils.py
index 1e24599..f19ebef 100644
--- a/netCDF4_utils.py
+++ b/netCDF4_utils.py
@@ -176,11 +176,14 @@ def _StartCountStride(elem, shape, dimensions=None, grp=None, datashape=None,\
# set unlim to True if dimension is unlimited and put==True
# (called from __setitem__)
if put and (dimensions is not None and grp is not None) and len(dimensions):
- dimname = dimensions[i]
- # is this dimension unlimited?
- # look in current group, and parents for dim.
- dim = _find_dim(grp, dimname)
- unlim = dim.isunlimited()
+ try:
+ dimname = dimensions[i]
+ # is this dimension unlimited?
+ # look in current group, and parents for dim.
+ dim = _find_dim(grp, dimname)
+ unlim = dim.isunlimited()
+ except IndexError: # more slices than dimensions (issue 371)
+ unlim = False
else:
unlim = False
# an iterable (non-scalar) integer array.
diff --git a/netcdftime/__init__.py b/netcdftime/__init__.py
index 39e3fab..d38514c 100644
--- a/netcdftime/__init__.py
+++ b/netcdftime/__init__.py
@@ -1,2 +1,2 @@
from .netcdftime import utime, JulianDayFromDate, DateFromJulianDay
-from .netcdftime import date2index, datetime, date2num, num2date
+from .netcdftime import datetime, _parse_date, date2index, time2index
diff --git a/netcdftime/_datetime.c b/netcdftime/_datetime.c
index e9c0bdb..8d9eddd 100644
--- a/netcdftime/_datetime.c
+++ b/netcdftime/_datetime.c
@@ -1,4 +1,4 @@
-/* Generated by Cython 0.21.1 */
+/* Generated by Cython 0.22 */
#define PY_SSIZE_T_CLEAN
#ifndef CYTHON_USE_PYLONG_INTERNALS
@@ -19,7 +19,7 @@
#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03020000)
#error Cython requires Python 2.6+ or Python 3.2+.
#else
-#define CYTHON_ABI "0_21_1"
+#define CYTHON_ABI "0_22"
#include <stddef.h>
#ifndef offsetof
#define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
@@ -54,7 +54,7 @@
#define CYTHON_COMPILING_IN_PYPY 0
#define CYTHON_COMPILING_IN_CPYTHON 1
#endif
-#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600
+#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)
#define Py_OptimizeFlag 0
#endif
#define __PYX_BUILD_PY_SSIZE_T "n"
@@ -203,11 +203,22 @@ static CYTHON_INLINE float __PYX_NAN() {
return value;
}
#endif
+#define __Pyx_void_to_None(void_result) (void_result, Py_INCREF(Py_None), Py_None)
#ifdef __cplusplus
template<typename T>
void __Pyx_call_destructor(T* x) {
x->~T();
}
+template<typename T>
+class __Pyx_FakeReference {
+ public:
+ __Pyx_FakeReference() : ptr(NULL) { }
+ __Pyx_FakeReference(T& ref) : ptr(&ref) { }
+ T *operator->() { return ptr; }
+ operator T&() { return *ptr; }
+ private:
+ T *ptr;
+};
#endif
@@ -290,11 +301,11 @@ static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);
#endif
#define __Pyx_PyObject_AsSString(s) ((signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s))
-#define __Pyx_PyObject_FromUString(s) __Pyx_PyObject_FromString((const char*)s)
-#define __Pyx_PyBytes_FromUString(s) __Pyx_PyBytes_FromString((const char*)s)
-#define __Pyx_PyByteArray_FromUString(s) __Pyx_PyByteArray_FromString((const char*)s)
-#define __Pyx_PyStr_FromUString(s) __Pyx_PyStr_FromString((const char*)s)
-#define __Pyx_PyUnicode_FromUString(s) __Pyx_PyUnicode_FromString((const char*)s)
+#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s)
+#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s)
+#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s)
+#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s)
+#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)
#if PY_MAJOR_VERSION < 3
static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u)
{
@@ -330,7 +341,7 @@ static int __Pyx_init_sys_getdefaultencoding_params(void) {
const char* default_encoding_c;
sys = PyImport_ImportModule("sys");
if (!sys) goto bad;
- default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL);
+ default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
@@ -440,8 +451,11 @@ struct __pyx_obj_10netcdftime_9_datetime_datetime {
int dayofwk;
int dayofyr;
int second;
+ int microsecond;
};
+
+/* --- Runtime support code (head) --- */
#ifndef CYTHON_REFNANNY
#define CYTHON_REFNANNY 0
#endif
@@ -605,12 +619,12 @@ static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename);
-static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
-
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
+static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
+
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
@@ -637,7 +651,7 @@ int __pyx_module_is_main_netcdftime___datetime = 0;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_NotImplemented;
static PyObject *__pyx_builtin_TypeError;
-static int __pyx_pf_10netcdftime_9_datetime_8datetime___init__(struct __pyx_obj_10netcdftime_9_datetime_datetime *__pyx_v_self, PyObject *__pyx_v_year, PyObject *__pyx_v_month, PyObject *__pyx_v_day, PyObject *__pyx_v_hour, PyObject *__pyx_v_minute, PyObject *__pyx_v_second, PyObject *__pyx_v_dayofwk, PyObject *__pyx_v_dayofyr); /* proto */
+static int __pyx_pf_10netcdftime_9_datetime_8datetime___init__(struct __pyx_obj_10netcdftime_9_datetime_datetime *__pyx_v_self, PyObject *__pyx_v_year, PyObject *__pyx_v_month, PyObject *__pyx_v_day, PyObject *__pyx_v_hour, PyObject *__pyx_v_minute, PyObject *__pyx_v_second, PyObject *__pyx_v_microsecond, PyObject *__pyx_v_dayofwk, PyObject *__pyx_v_dayofyr); /* proto */
static PyObject *__pyx_pf_10netcdftime_9_datetime_8datetime_6format___get__(CYTHON_UNUSED struct __pyx_obj_10netcdftime_9_datetime_datetime *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_10netcdftime_9_datetime_8datetime_2strftime(struct __pyx_obj_10netcdftime_9_datetime_datetime *__pyx_v_self, PyObject *__pyx_v_format); /* proto */
static PyObject *__pyx_pf_10netcdftime_9_datetime_8datetime_4timetuple(struct __pyx_obj_10netcdftime_9_datetime_datetime *__pyx_v_self); /* proto */
@@ -653,6 +667,7 @@ static PyObject *__pyx_pf_10netcdftime_9_datetime_8datetime_6minute___get__(stru
static PyObject *__pyx_pf_10netcdftime_9_datetime_8datetime_7dayofwk___get__(struct __pyx_obj_10netcdftime_9_datetime_datetime *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_10netcdftime_9_datetime_8datetime_7dayofyr___get__(struct __pyx_obj_10netcdftime_9_datetime_datetime *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_10netcdftime_9_datetime_8datetime_6second___get__(struct __pyx_obj_10netcdftime_9_datetime_datetime *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_10netcdftime_9_datetime_8datetime_11microsecond___get__(struct __pyx_obj_10netcdftime_9_datetime_datetime *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_10netcdftime_9_datetime__findall(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_text, PyObject *__pyx_v_substr); /* proto */
static PyObject *__pyx_pf_10netcdftime_9_datetime_2_strftime(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_dt, PyObject *__pyx_v_fmt); /* proto */
static PyObject *__pyx_tp_new_10netcdftime_9_datetime_datetime(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
@@ -701,17 +716,18 @@ static char __pyx_k_timetuple[] = "timetuple";
static char __pyx_k_ValueError[] = "ValueError";
static char __pyx_k_strftime_2[] = "strftime";
static char __pyx_k_Y_m_d_H_M_S[] = "%Y-%m-%d %H:%M:%S";
+static char __pyx_k_microsecond[] = "microsecond";
static char __pyx_k_real_datetime[] = "real_datetime";
static char __pyx_k_NotImplemented[] = "NotImplemented";
static char __pyx_k_to_real_datetime[] = "_to_real_datetime";
static char __pyx_k_netcdftime__datetime[] = "netcdftime._datetime";
-static char __pyx_k_Users_shoyer_dev_netcdf4_python[] = "/Users/shoyer/dev/netcdf4-python/netcdftime/_datetime.pyx";
+static char __pyx_k_Users_jsw_python_netcdf4_python[] = "/Users/jsw/python/netcdf4-python.git/netcdftime/_datetime.pyx";
static char __pyx_k_This_strftime_implementation_doe[] = "This strftime implementation does not handle %s";
static PyObject *__pyx_kp_s_4d;
static PyObject *__pyx_n_s_NotImplemented;
static PyObject *__pyx_kp_s_This_strftime_implementation_doe;
static PyObject *__pyx_n_s_TypeError;
-static PyObject *__pyx_kp_s_Users_shoyer_dev_netcdf4_python;
+static PyObject *__pyx_kp_s_Users_jsw_python_netcdf4_python;
static PyObject *__pyx_n_s_ValueError;
static PyObject *__pyx_kp_s_Y_m_d_H_M_S;
static PyObject *__pyx_n_s_compile;
@@ -731,6 +747,7 @@ static PyObject *__pyx_n_s_illegal_s;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_j;
static PyObject *__pyx_n_s_main;
+static PyObject *__pyx_n_s_microsecond;
static PyObject *__pyx_n_s_minute;
static PyObject *__pyx_n_s_month;
static PyObject *__pyx_n_s_netcdftime__datetime;
@@ -778,11 +795,11 @@ static PyObject *__pyx_tuple__9;
static PyObject *__pyx_codeobj__8;
static PyObject *__pyx_codeobj__10;
-/* "netcdftime/_datetime.pyx":26
- * cdef readonly int year, month, day, hour, minute, dayofwk, dayofyr, second
+/* "netcdftime/_datetime.pyx":27
+ * cdef readonly int second, microsecond
*
* def __init__(self, year, month, day, hour=0, minute=0, second=0, # <<<<<<<<<<<<<<
- * dayofwk=-1, dayofyr=1):
+ * microsecond=0,dayofwk=-1, dayofyr=1):
* """dayofyr set to 1 by default - otherwise time.strftime will complain"""
*/
@@ -799,6 +816,7 @@ static int __pyx_pw_10netcdftime_9_datetime_8datetime_1__init__(PyObject *__pyx_
PyObject *__pyx_v_hour = 0;
PyObject *__pyx_v_minute = 0;
PyObject *__pyx_v_second = 0;
+ PyObject *__pyx_v_microsecond = 0;
PyObject *__pyx_v_dayofwk = 0;
PyObject *__pyx_v_dayofyr = 0;
int __pyx_lineno = 0;
@@ -808,17 +826,19 @@ static int __pyx_pw_10netcdftime_9_datetime_8datetime_1__init__(PyObject *__pyx_
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("__init__ (wrapper)", 0);
{
- static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_year,&__pyx_n_s_month,&__pyx_n_s_day,&__pyx_n_s_hour,&__pyx_n_s_minute,&__pyx_n_s_second,&__pyx_n_s_dayofwk,&__pyx_n_s_dayofyr,0};
- PyObject* values[8] = {0,0,0,0,0,0,0,0};
+ static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_year,&__pyx_n_s_month,&__pyx_n_s_day,&__pyx_n_s_hour,&__pyx_n_s_minute,&__pyx_n_s_second,&__pyx_n_s_microsecond,&__pyx_n_s_dayofwk,&__pyx_n_s_dayofyr,0};
+ PyObject* values[9] = {0,0,0,0,0,0,0,0,0};
values[3] = ((PyObject *)__pyx_int_0);
values[4] = ((PyObject *)__pyx_int_0);
values[5] = ((PyObject *)__pyx_int_0);
- values[6] = ((PyObject *)__pyx_int_neg_1);
- values[7] = ((PyObject *)__pyx_int_1);
+ values[6] = ((PyObject *)__pyx_int_0);
+ values[7] = ((PyObject *)__pyx_int_neg_1);
+ values[8] = ((PyObject *)__pyx_int_1);
if (unlikely(__pyx_kwds)) {
Py_ssize_t kw_args;
const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
switch (pos_args) {
+ case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
@@ -838,12 +858,12 @@ static int __pyx_pw_10netcdftime_9_datetime_8datetime_1__init__(PyObject *__pyx_
case 1:
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_month)) != 0)) kw_args--;
else {
- __Pyx_RaiseArgtupleInvalid("__init__", 0, 3, 8, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 26; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ __Pyx_RaiseArgtupleInvalid("__init__", 0, 3, 9, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 27; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 2:
if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_day)) != 0)) kw_args--;
else {
- __Pyx_RaiseArgtupleInvalid("__init__", 0, 3, 8, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 26; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ __Pyx_RaiseArgtupleInvalid("__init__", 0, 3, 9, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 27; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 3:
if (kw_args > 0) {
@@ -862,20 +882,26 @@ static int __pyx_pw_10netcdftime_9_datetime_8datetime_1__init__(PyObject *__pyx_
}
case 6:
if (kw_args > 0) {
- PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s_dayofwk);
+ PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s_microsecond);
if (value) { values[6] = value; kw_args--; }
}
case 7:
if (kw_args > 0) {
- PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s_dayofyr);
+ PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s_dayofwk);
if (value) { values[7] = value; kw_args--; }
}
+ case 8:
+ if (kw_args > 0) {
+ PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s_dayofyr);
+ if (value) { values[8] = value; kw_args--; }
+ }
}
if (unlikely(kw_args > 0)) {
- if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__init__") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 26; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__init__") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 27; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
} else {
switch (PyTuple_GET_SIZE(__pyx_args)) {
+ case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
@@ -894,25 +920,26 @@ static int __pyx_pw_10netcdftime_9_datetime_8datetime_1__init__(PyObject *__pyx_
__pyx_v_hour = values[3];
__pyx_v_minute = values[4];
__pyx_v_second = values[5];
- __pyx_v_dayofwk = values[6];
- __pyx_v_dayofyr = values[7];
+ __pyx_v_microsecond = values[6];
+ __pyx_v_dayofwk = values[7];
+ __pyx_v_dayofyr = values[8];
}
goto __pyx_L4_argument_unpacking_done;
__pyx_L5_argtuple_error:;
- __Pyx_RaiseArgtupleInvalid("__init__", 0, 3, 8, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 26; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ __Pyx_RaiseArgtupleInvalid("__init__", 0, 3, 9, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 27; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_L3_error:;
__Pyx_AddTraceback("netcdftime._datetime.datetime.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename);
__Pyx_RefNannyFinishContext();
return -1;
__pyx_L4_argument_unpacking_done:;
- __pyx_r = __pyx_pf_10netcdftime_9_datetime_8datetime___init__(((struct __pyx_obj_10netcdftime_9_datetime_datetime *)__pyx_v_self), __pyx_v_year, __pyx_v_month, __pyx_v_day, __pyx_v_hour, __pyx_v_minute, __pyx_v_second, __pyx_v_dayofwk, __pyx_v_dayofyr);
+ __pyx_r = __pyx_pf_10netcdftime_9_datetime_8datetime___init__(((struct __pyx_obj_10netcdftime_9_datetime_datetime *)__pyx_v_self), __pyx_v_year, __pyx_v_month, __pyx_v_day, __pyx_v_hour, __pyx_v_minute, __pyx_v_second, __pyx_v_microsecond, __pyx_v_dayofwk, __pyx_v_dayofyr);
/* function exit code */
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
-static int __pyx_pf_10netcdftime_9_datetime_8datetime___init__(struct __pyx_obj_10netcdftime_9_datetime_datetime *__pyx_v_self, PyObject *__pyx_v_year, PyObject *__pyx_v_month, PyObject *__pyx_v_day, PyObject *__pyx_v_hour, PyObject *__pyx_v_minute, PyObject *__pyx_v_second, PyObject *__pyx_v_dayofwk, PyObject *__pyx_v_dayofyr) {
+static int __pyx_pf_10netcdftime_9_datetime_8datetime___init__(struct __pyx_obj_10netcdftime_9_datetime_datetime *__pyx_v_self, PyObject *__pyx_v_year, PyObject *__pyx_v_month, PyObject *__pyx_v_day, PyObject *__pyx_v_hour, PyObject *__pyx_v_minute, PyObject *__pyx_v_second, PyObject *__pyx_v_microsecond, PyObject *__pyx_v_dayofwk, PyObject *__pyx_v_dayofyr) {
int __pyx_r;
__Pyx_RefNannyDeclarations
int __pyx_t_1;
@@ -921,91 +948,101 @@ static int __pyx_pf_10netcdftime_9_datetime_8datetime___init__(struct __pyx_obj_
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("__init__", 0);
- /* "netcdftime/_datetime.pyx":30
+ /* "netcdftime/_datetime.pyx":31
* """dayofyr set to 1 by default - otherwise time.strftime will complain"""
*
* self.year = year # <<<<<<<<<<<<<<
* self.month = month
* self.day = day
*/
- __pyx_t_1 = __Pyx_PyInt_As_int(__pyx_v_year); if (unlikely((__pyx_t_1 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 30; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyInt_As_int(__pyx_v_year); if (unlikely((__pyx_t_1 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 31; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_self->year = __pyx_t_1;
- /* "netcdftime/_datetime.pyx":31
+ /* "netcdftime/_datetime.pyx":32
*
* self.year = year
* self.month = month # <<<<<<<<<<<<<<
* self.day = day
* self.hour = hour
*/
- __pyx_t_1 = __Pyx_PyInt_As_int(__pyx_v_month); if (unlikely((__pyx_t_1 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 31; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyInt_As_int(__pyx_v_month); if (unlikely((__pyx_t_1 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 32; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_self->month = __pyx_t_1;
- /* "netcdftime/_datetime.pyx":32
+ /* "netcdftime/_datetime.pyx":33
* self.year = year
* self.month = month
* self.day = day # <<<<<<<<<<<<<<
* self.hour = hour
* self.minute = minute
*/
- __pyx_t_1 = __Pyx_PyInt_As_int(__pyx_v_day); if (unlikely((__pyx_t_1 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 32; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyInt_As_int(__pyx_v_day); if (unlikely((__pyx_t_1 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 33; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_self->day = __pyx_t_1;
- /* "netcdftime/_datetime.pyx":33
+ /* "netcdftime/_datetime.pyx":34
* self.month = month
* self.day = day
* self.hour = hour # <<<<<<<<<<<<<<
* self.minute = minute
* self.dayofwk = dayofwk
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{(char *)"second", __pyx_getprop_10netcdftime_9_datetime_8datetime_second, 0, 0, 0},
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+ /* "netcdftime/_datetime.pyx":77
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*
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__Pyx_GOTREF(__pyx_tuple__6);
__Pyx_GIVEREF(__pyx_tuple__6);
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+ /* "netcdftime/_datetime.pyx":80
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*
* def _findall(text, substr): # <<<<<<<<<<<<<<
* # Also finds overlaps
* sites = []
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+ __pyx_tuple__7 = PyTuple_Pack(5, __pyx_n_s_text, __pyx_n_s_substr, __pyx_n_s_sites, __pyx_n_s_i, __pyx_n_s_j); if (unlikely(!__pyx_tuple__7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 80; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_tuple__7);
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+ __pyx_codeobj__8 = (PyObject*)__Pyx_PyCode_New(2, 0, 5, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__7, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_findall, 80, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 80; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netcdftime/_datetime.pyx":94
+ /* "netcdftime/_datetime.pyx":97
*
*
* def _strftime(dt, fmt): # <<<<<<<<<<<<<<
* if _illegal_s.search(fmt):
* raise TypeError("This strftime implementation does not handle %s")
*/
- __pyx_tuple__9 = PyTuple_Pack(14, __pyx_n_s_dt, __pyx_n_s_fmt, __pyx_n_s_year, __pyx_n_s_delta, __pyx_n_s_off, __pyx_n_s_timetuple, __pyx_n_s_s1, __pyx_n_s_sites1, __pyx_n_s_s2, __pyx_n_s_sites2, __pyx_n_s_sites, __pyx_n_s_site, __pyx_n_s_s_2, __pyx_n_s_syear); if (unlikely(!__pyx_tuple__9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 94; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__9 = PyTuple_Pack(14, __pyx_n_s_dt, __pyx_n_s_fmt, __pyx_n_s_year, __pyx_n_s_delta, __pyx_n_s_off, __pyx_n_s_timetuple, __pyx_n_s_s1, __pyx_n_s_sites1, __pyx_n_s_s2, __pyx_n_s_sites2, __pyx_n_s_sites, __pyx_n_s_site, __pyx_n_s_s_2, __pyx_n_s_syear); if (unlikely(!__pyx_tuple__9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 97; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_codeobj__10 = (PyObject*)__Pyx_PyCode_New(2, 0, 14, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__9, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_strftime, 97, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 97; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -3676,46 +3781,46 @@ PyMODINIT_FUNC PyInit__datetime(void)
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
- /* "netcdftime/_datetime.pyx":74
+ /* "netcdftime/_datetime.pyx":77
*
*
* _illegal_s = re.compile(r"((^|[^%])(%%)*%s)") # <<<<<<<<<<<<<<
*
*
*/
- __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_re); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_re); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 77; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
- __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_compile); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_compile); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 77; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
- __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_tuple__6, NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_tuple__6, NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 77; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- if (PyDict_SetItem(__pyx_d, __pyx_n_s_illegal_s, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_illegal_s, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 77; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
- /* "netcdftime/_datetime.pyx":77
+ /* "netcdftime/_datetime.pyx":80
*
*
* def _findall(text, substr): # <<<<<<<<<<<<<<
* # Also finds overlaps
* sites = []
*/
- __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_10netcdftime_9_datetime_1_findall, NULL, __pyx_n_s_netcdftime__datetime); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 77; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_10netcdftime_9_datetime_1_findall, NULL, __pyx_n_s_netcdftime__datetime); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 80; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
- if (PyDict_SetItem(__pyx_d, __pyx_n_s_findall, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 77; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_findall, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 80; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
- /* "netcdftime/_datetime.pyx":94
+ /* "netcdftime/_datetime.pyx":97
*
*
* def _strftime(dt, fmt): # <<<<<<<<<<<<<<
* if _illegal_s.search(fmt):
* raise TypeError("This strftime implementation does not handle %s")
*/
- __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_10netcdftime_9_datetime_3_strftime, NULL, __pyx_n_s_netcdftime__datetime); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 94; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_10netcdftime_9_datetime_3_strftime, NULL, __pyx_n_s_netcdftime__datetime); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 97; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
- if (PyDict_SetItem(__pyx_d, __pyx_n_s_strftime, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 94; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_strftime, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 97; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
/* "netcdftime/_datetime.pyx":1
@@ -3751,7 +3856,7 @@ PyMODINIT_FUNC PyInit__datetime(void)
#endif
}
-/* Runtime support code */
+/* --- Runtime support code --- */
#if CYTHON_REFNANNY
static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) {
PyObject *m = NULL, *p = NULL;
@@ -4565,32 +4670,6 @@ bad:
Py_XDECREF(py_frame);
}
-static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
- const int neg_one = (int) -1, const_zero = 0;
- const int is_unsigned = neg_one > const_zero;
- if (is_unsigned) {
- if (sizeof(int) < sizeof(long)) {
- return PyInt_FromLong((long) value);
- } else if (sizeof(int) <= sizeof(unsigned long)) {
- return PyLong_FromUnsignedLong((unsigned long) value);
- } else if (sizeof(int) <= sizeof(unsigned long long)) {
- return PyLong_FromUnsignedLongLong((unsigned long long) value);
- }
- } else {
- if (sizeof(int) <= sizeof(long)) {
- return PyInt_FromLong((long) value);
- } else if (sizeof(int) <= sizeof(long long)) {
- return PyLong_FromLongLong((long long) value);
- }
- }
- {
- int one = 1; int little = (int)*(unsigned char *)&one;
- unsigned char *bytes = (unsigned char *)&value;
- return _PyLong_FromByteArray(bytes, sizeof(int),
- little, !is_unsigned);
- }
-}
-
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
PyObject *empty_list = 0;
PyObject *module = 0;
@@ -4780,6 +4859,32 @@ raise_neg_overflow:
return (int) -1;
}
+static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
+ const int neg_one = (int) -1, const_zero = 0;
+ const int is_unsigned = neg_one > const_zero;
+ if (is_unsigned) {
+ if (sizeof(int) < sizeof(long)) {
+ return PyInt_FromLong((long) value);
+ } else if (sizeof(int) <= sizeof(unsigned long)) {
+ return PyLong_FromUnsignedLong((unsigned long) value);
+ } else if (sizeof(int) <= sizeof(unsigned long long)) {
+ return PyLong_FromUnsignedLongLong((unsigned long long) value);
+ }
+ } else {
+ if (sizeof(int) <= sizeof(long)) {
+ return PyInt_FromLong((long) value);
+ } else if (sizeof(int) <= sizeof(long long)) {
+ return PyLong_FromLongLong((long long) value);
+ }
+ }
+ {
+ int one = 1; int little = (int)*(unsigned char *)&one;
+ unsigned char *bytes = (unsigned char *)&value;
+ return _PyLong_FromByteArray(bytes, sizeof(int),
+ little, !is_unsigned);
+ }
+}
+
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
const long neg_one = (long) -1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
diff --git a/netcdftime/_datetime.pyx b/netcdftime/_datetime.pyx
index 6014958..9329f51 100644
--- a/netcdftime/_datetime.pyx
+++ b/netcdftime/_datetime.pyx
@@ -21,10 +21,11 @@ phony datetime and with datetime.datetime objects.
Instance variables are year,month,day,hour,minute,second,dayofwk,dayofyr
and format.
"""
- cdef readonly int year, month, day, hour, minute, dayofwk, dayofyr, second
+ cdef readonly int year, month, day, hour, minute, dayofwk, dayofyr
+ cdef readonly int second, microsecond
def __init__(self, year, month, day, hour=0, minute=0, second=0,
- dayofwk=-1, dayofyr=1):
+ microsecond=0,dayofwk=-1, dayofyr=1):
"""dayofyr set to 1 by default - otherwise time.strftime will complain"""
self.year = year
@@ -35,6 +36,7 @@ and format.
self.dayofwk = dayofwk
self.dayofyr = dayofyr
self.second = second
+ self.microsecond = microsecond
property format:
def __get__(self):
@@ -51,7 +53,8 @@ and format.
def _to_real_datetime(self):
return real_datetime(self.year, self.month, self.day,
- self.hour, self.minute, self.second)
+ self.hour, self.minute, self.second,
+ self.microsecond)
def __repr__(self):
return self.strftime(self.format)
diff --git a/netcdftime/netcdftime.py b/netcdftime/netcdftime.py
index fc41aad..b0fb173 100644
--- a/netcdftime/netcdftime.py
+++ b/netcdftime/netcdftime.py
@@ -14,11 +14,12 @@ except ImportError: # python 3.x
from ._datetime import datetime
_units = ['days', 'hours', 'minutes', 'seconds',
- 'day', 'hour', 'minute', 'second']
+ 'day', 'hour', 'minute', 'second',
+ 'milliseconds','millisecond','microseconds','microsecond']
_calendars = ['standard', 'gregorian', 'proleptic_gregorian',
'noleap', 'julian', 'all_leap', '365_day', '366_day', '360_day']
-__version__ = '1.3'
+__version__ = '1.4'
# Adapted from http://delete.me.uk/2005/03/iso8601.html
ISO8601_REGEX = re.compile(r"(?P<year>[0-9]{1,4})(-(?P<month>[0-9]{1,2})(-(?P<day>[0-9]{1,2})"
@@ -33,7 +34,7 @@ def JulianDayFromDate(date, calendar='standard'):
"""
creates a Julian Day from a 'datetime-like' object. Returns the fractional
- Julian Day (resolution 1 second).
+ Julian Day (resolution approx 0.1 second).
if calendar='standard' or 'gregorian' (default), Julian day follows Julian
Calendar on and before 1582-10-5, Gregorian calendar after 1582-10-15.
@@ -65,6 +66,7 @@ def JulianDayFromDate(date, calendar='standard'):
hour = year.copy()
minute = year.copy()
second = year.copy()
+ microsecond = year.copy()
for i, d in enumerate(date):
year[i] = d.year
month[i] = d.month
@@ -72,8 +74,9 @@ def JulianDayFromDate(date, calendar='standard'):
hour[i] = d.hour
minute[i] = d.minute
second[i] = d.second
+ microsecond[i] = d.microsecond
# Convert time to fractions of a day
- day = day + hour / 24.0 + minute / 1440.0 + second / 86400.0
+ day = day + hour / 24.0 + minute / 1440.0 + (second + microsecond/1.e6) / 86400.0
# Start Meeus algorithm (variables are in his notation)
month_lt_3 = month < 3
@@ -122,7 +125,7 @@ def _NoLeapDayFromDate(date):
"""
creates a Julian Day for a calendar with no leap years from a datetime
-instance. Returns the fractional Julian Day (resolution 1 second).
+instance. Returns the fractional Julian Day (resolution approx 0.1 second).
"""
@@ -132,8 +135,9 @@ instance. Returns the fractional Julian Day (resolution 1 second).
hour = date.hour
minute = date.minute
second = date.second
+ microsecond = date.microsecond
# Convert time to fractions of a day
- day = day + hour / 24.0 + minute / 1440.0 + second / 86400.0
+ day = day + hour / 24.0 + minute / 1440.0 + (second + microsecond/1.e6) / 86400.0
# Start Meeus algorithm (variables are in his notation)
if (month < 3):
@@ -151,7 +155,7 @@ def _AllLeapFromDate(date):
creates a Julian Day for a calendar where all years have 366 days from
a 'datetime-like' object.
-Returns the fractional Julian Day (resolution 1 second).
+Returns the fractional Julian Day (resolution approx 0.1 second).
"""
@@ -161,8 +165,9 @@ Returns the fractional Julian Day (resolution 1 second).
hour = date.hour
minute = date.minute
second = date.second
+ microsecond = date.microsecond
# Convert time to fractions of a day
- day = day + hour / 24.0 + minute / 1440.0 + second / 86400.0
+ day = day + hour / 24.0 + minute / 1440.0 + (second + microsecond/1.e6) / 86400.0
# Start Meeus algorithm (variables are in his notation)
if (month < 3):
@@ -180,7 +185,7 @@ def _360DayFromDate(date):
creates a Julian Day for a calendar where all months have 30 daysfrom
a 'datetime-like' object.
-Returns the fractional Julian Day (resolution 1 second).
+Returns the fractional Julian Day (resolution approx 0.1 second).
"""
@@ -190,8 +195,9 @@ Returns the fractional Julian Day (resolution 1 second).
hour = date.hour
minute = date.minute
second = date.second
+ microsecond = date.microsecond
# Convert time to fractions of a day
- day = day + hour / 24.0 + minute / 1440.0 + second / 86400.0
+ day = day + hour / 24.0 + minute / 1440.0 + (second + microsecond/1.e6) / 86400.0
jd = int(360. * (year + 4716)) + int(30. * (month - 1)) + day
@@ -202,7 +208,7 @@ def DateFromJulianDay(JD, calendar='standard'):
"""
returns a 'datetime-like' object given Julian Day. Julian Day is a
- fractional day with a resolution of 1 second.
+ fractional day with a resolution of approximately 0.1 seconds.
if calendar='standard' or 'gregorian' (default), Julian day follows Julian
Calendar on and before 1582-10-5, Gregorian calendar after 1582-10-15.
@@ -308,9 +314,9 @@ def DateFromJulianDay(JD, calendar='standard'):
hour = np.clip((F * 24. + eps).astype(np.int64), 0, 23)
F -= hour / 24.
minute = np.clip((F * 1440. + eps).astype(np.int64), 0, 59)
- # don't attempt microsecond accuracy, just round to nearest
- # second (issue #330)
- second = np.round(np.clip((F - minute / 1440.) * 86400., 0, None))
+ second = np.clip((F - minute / 1440.) * 86400., 0, None)
+ # microseconds may not be accurate.
+ microsecond = (second % 1)*1.e6
# convert year, month, day, hour, minute, second to int32
year = year.astype(np.int32)
@@ -319,6 +325,7 @@ def DateFromJulianDay(JD, calendar='standard'):
hour = hour.astype(np.int32)
minute = minute.astype(np.int32)
second = second.astype(np.int32)
+ microsecond = microsecond.astype(np.int32)
# check if input was scalar and change return accordingly
isscalar = False
@@ -332,21 +339,22 @@ def DateFromJulianDay(JD, calendar='standard'):
if not isscalar:
return np.array([real_datetime(*args)
for args in
- zip(year, month, day, hour, minute, second)])
+ zip(year, month, day, hour, minute, second,
+ microsecond)])
else:
return real_datetime(year[0], month[0], day[0], hour[0],
- minute[0], second[0])
+ minute[0], second[0], microsecond[0])
else:
# or else, return a 'datetime-like' instance.
if not isscalar:
return np.array([datetime(*args)
for args in
zip(year, month, day, hour, minute,
- second, dayofwk, dayofyr)])
+ second, microsecond, dayofwk, dayofyr)])
else:
return datetime(year[0], month[0], day[0], hour[0],
- minute[0], second[0], dayofwk[0],
+ minute[0], second[0], microsecond[0], dayofwk[0],
dayofyr[0])
@@ -354,7 +362,7 @@ def _DateFromNoLeapDay(JD):
"""
returns a 'datetime-like' object given Julian Day for a calendar with no leap
-days. Julian Day is a fractional day with a resolution of 1 second.
+days. Julian Day is a fractional day with a resolution of approximately 0.1 seconds.
"""
@@ -393,19 +401,11 @@ days. Julian Day is a fractional day with a resolution of 1 second.
(dfrac, days) = math.modf(day / 1.0)
(hfrac, hours) = math.modf(dfrac * 24.0)
(mfrac, minutes) = math.modf(hfrac * 60.0)
- seconds = round(mfrac * 60.0) # seconds are rounded
+ (sfrac, seconds) = math.modf(mfrac * 60.0)
+ microseconds = sfrac*1.e6
- if seconds > 59:
- seconds = 0
- minutes = minutes + 1
- if minutes > 59:
- minutes = 0
- hours = hours + 1
- if hours > 23:
- hours = 0
- days = days + 1
-
- return datetime(year, month, int(days), int(hours), int(minutes), int(seconds), dayofwk, dayofyr)
+ return datetime(year, month, int(days), int(hours), int(minutes),
+ int(seconds), int(microseconds),dayofwk, dayofyr)
def _DateFromAllLeap(JD):
@@ -413,7 +413,7 @@ def _DateFromAllLeap(JD):
returns a 'datetime-like' object given Julian Day for a calendar where all
years have 366 days.
-Julian Day is a fractional day with a resolution of 1 second.
+Julian Day is a fractional day with a resolution of approximately 0.1 seconds.
"""
@@ -454,19 +454,11 @@ Julian Day is a fractional day with a resolution of 1 second.
(dfrac, days) = math.modf(day / 1.0)
(hfrac, hours) = math.modf(dfrac * 24.0)
(mfrac, minutes) = math.modf(hfrac * 60.0)
- seconds = round(mfrac * 60.0) # seconds are rounded
-
- if seconds > 59:
- seconds = 0
- minutes = minutes + 1
- if minutes > 59:
- minutes = 0
- hours = hours + 1
- if hours > 23:
- hours = 0
- days = days + 1
+ (sfrac, seconds) = math.modf(mfrac * 60.0)
+ microseconds = sfrac*1.e6
- return datetime(year, month, int(days), int(hours), int(minutes), int(seconds), dayofwk, dayofyr)
+ return datetime(year, month, int(days), int(hours), int(minutes),
+ int(seconds), int(microseconds),dayofwk, dayofyr)
def _DateFrom360Day(JD):
@@ -474,7 +466,7 @@ def _DateFrom360Day(JD):
returns a 'datetime-like' object given Julian Day for a calendar where all
months have 30 days.
-Julian Day is a fractional day with a resolution of 1 second.
+Julian Day is a fractional day with a resolution of approximately 0.1 seconds.
"""
@@ -492,19 +484,11 @@ Julian Day is a fractional day with a resolution of 1 second.
(dfrac, days) = math.modf(day / 1.0)
(hfrac, hours) = math.modf(dfrac * 24.0)
(mfrac, minutes) = math.modf(hfrac * 60.0)
- seconds = round(mfrac * 60.0) # seconds are rounded
-
- if seconds > 59:
- seconds = 0
- minutes = minutes + 1
- if minutes > 59:
- minutes = 0
- hours = hours + 1
- if hours > 23:
- hours = 0
- days = days + 1
+ (sfrac, seconds) = math.modf(mfrac * 60.0)
+ microseconds = sfrac*1.e6
- return datetime(year, month, int(days), int(hours), int(minutes), int(seconds), -1, int(dayofyr))
+ return datetime(year, month, int(days), int(hours), int(minutes),
+ int(seconds), int(microseconds), -1, dayofyr)
def _dateparse(timestr):
@@ -604,7 +588,7 @@ Example usage:
2006-03-17 16:04:02
>>>
-The resolution of the transformation operation is 1 second.
+The resolution of the transformation operation is approximately 0.1 seconds.
Warning: Dates between 1582-10-5 and 1582-10-15 do not exist in the
C{'standard'} or C{'gregorian'} calendars. An exception will be raised if you pass
@@ -660,6 +644,7 @@ are:
@returns: A class instance which may be used for converting times from netCDF
units to datetime objects.
"""
+ calendar = calendar.lower()
if calendar in _calendars:
self.calendar = calendar
else:
@@ -693,7 +678,7 @@ units to datetime objects.
If there is a time-zone offset implied by L{unit_string}, it will
be applied to the returned numeric values.
- Resolution is 1 second.
+ Resolution is approximately 0.1 seconds.
If C{calendar = 'standard'} or C{'gregorian'} (indicating
that the mixed Julian/Gregorian calendar is to be used), an
@@ -750,15 +735,19 @@ units to datetime objects.
jdelta.append(_360DayFromDate(d) - self._jd0)
if not isscalar:
jdelta = numpy.array(jdelta)
- # convert to desired units, add time zone offset.
- if self.units in ['second', 'seconds']:
- jdelta = jdelta * 86400. + self.tzoffset * 60.
+ # convert to desired units, subtract time zone offset.
+ if self.units in ['microseconds','microsecond']:
+ jdelta = jdelta * 86400. * 1.e6 - self.tzoffset * 60. * 1.e6
+ elif self.units in ['milliseconds', 'millisecond']:
+ jdelta = jdelta * 86400. * 1.e3 - self.tzoffset * 60. * 1.e3
+ elif self.units in ['second', 'seconds']:
+ jdelta = jdelta * 86400. - self.tzoffset * 60.
elif self.units in ['minute', 'minutes']:
- jdelta = jdelta * 1440. + self.tzoffset
+ jdelta = jdelta * 1440. - self.tzoffset
elif self.units in ['hour', 'hours']:
- jdelta = jdelta * 24. + self.tzoffset / 60.
+ jdelta = jdelta * 24. - self.tzoffset / 60.
elif self.units in ['day', 'days']:
- jdelta = jdelta + self.tzoffset / 1440.
+ jdelta = jdelta - self.tzoffset / 1440.
if isscalar:
return jdelta
else:
@@ -772,7 +761,7 @@ units to datetime objects.
dates are in UTC with no offset, even if L{unit_string} contains
a time zone offset from UTC.
- Resolution is 1 second.
+ Resolution is approximately 0.1 seconds.
Works for scalars, sequences and numpy arrays.
Returns a scalar if input is a scalar, else returns a numpy array.
@@ -798,15 +787,19 @@ units to datetime objects.
if not isscalar:
time_value = numpy.array(time_value, dtype='d')
shape = time_value.shape
- # convert to desired units, remove time zone offset.
- if self.units in ['second', 'seconds']:
- jdelta = time_value / 86400. - self.tzoffset / 1440.
+ # convert to desired units, add time zone offset.
+ if self.units in ['microseconds','microsecond']:
+ jdelta = time_value / 86400000000. + self.tzoffset / 1440.
+ elif self.units in ['milliseconds', 'millisecond']:
+ jdelta = time_value / 86400000. + self.tzoffset / 1440.
+ elif self.units in ['second', 'seconds']:
+ jdelta = time_value / 86400. + self.tzoffset / 1440.
elif self.units in ['minute', 'minutes']:
- jdelta = time_value / 1440. - self.tzoffset / 1440.
+ jdelta = time_value / 1440. + self.tzoffset / 1440.
elif self.units in ['hour', 'hours']:
- jdelta = time_value / 24. - self.tzoffset / 1440.
+ jdelta = time_value / 24. + self.tzoffset / 1440.
elif self.units in ['day', 'days']:
- jdelta = time_value - self.tzoffset / 1440.
+ jdelta = time_value + self.tzoffset / 1440.
jd = self._jd0 + jdelta
if self.calendar in ['julian', 'standard', 'gregorian', 'proleptic_gregorian']:
if not isscalar:
@@ -894,92 +887,6 @@ def _parse_date(datestring):
int(groups["hour"]), int(groups["minute"]), int(groups["second"]),\
tzoffset_mins
-
-def date2num(dates, units, calendar='standard'):
- """
-date2num(dates,units,calendar='standard')
-
-Return numeric time values given datetime objects. The units
-of the numeric time values are described by the L{units} argument
-and the L{calendar} keyword. The datetime objects must
-be in UTC with no time-zone offset. If there is a
-time-zone offset in C{units}, it will be applied to the
-returned numeric values.
-
-Like the matplotlib C{date2num} function, except that it allows
-for different units and calendars. Behaves the same if
-C{units = 'days since 0001-01-01 00:00:00'} and
-C{calendar = 'proleptic_gregorian'}.
-
- at param dates: A datetime object or a sequence of datetime objects.
- The datetime objects should not include a time-zone offset.
-
- at param units: a string of the form C{'B{time units} since B{reference time}}'
- describing the time units. B{C{time units}} can be days, hours, minutes
- or seconds. B{C{reference time}} is the time origin. A valid choice
- would be units=C{'hours since 1800-01-01 00:00:00 -6:00'}.
-
- at param calendar: describes the calendar used in the time calculations.
- All the values currently defined in the U{CF metadata convention
- <http://cf-pcmdi.llnl.gov/documents/cf-conventions/>} are supported.
- Valid calendars C{'standard', 'gregorian', 'proleptic_gregorian'
- 'noleap', '365_day', '360_day', 'julian', 'all_leap', '366_day'}.
- Default is C{'standard'}, which is a mixed Julian/Gregorian calendar.
-
- at return: a numeric time value, or an array of numeric time values.
-
-The maximum resolution of the numeric time values is 1 second.
- """
- cdftime = utime(units, calendar=calendar)
- return cdftime.date2num(dates)
-
-
-def num2date(times, units, calendar='standard'):
- """
-num2date(times,units,calendar='standard')
-
-Return datetime objects given numeric time values. The units
-of the numeric time values are described by the C{units} argument
-and the C{calendar} keyword. The returned datetime objects represent
-UTC with no time-zone offset, even if the specified
-C{units} contain a time-zone offset.
-
-Like the matplotlib C{num2date} function, except that it allows
-for different units and calendars. Behaves the same if
-C{units = 'days since 001-01-01 00:00:00'} and
-C{calendar = 'proleptic_gregorian'}.
-
- at param times: numeric time values. Maximum resolution is 1 second.
-
- at param units: a string of the form C{'B{time units} since B{reference time}}'
-describing the time units. B{C{time units}} can be days, hours, minutes
-or seconds. B{C{reference time}} is the time origin. A valid choice
-would be units=C{'hours since 1800-01-01 00:00:00 -6:00'}.
-
- at param calendar: describes the calendar used in the time calculations.
-All the values currently defined in the U{CF metadata convention
-<http://cf-pcmdi.llnl.gov/documents/cf-conventions/>} are supported.
-Valid calendars C{'standard', 'gregorian', 'proleptic_gregorian'
-'noleap', '365_day', '360_day', 'julian', 'all_leap', '366_day'}.
-Default is C{'standard'}, which is a mixed Julian/Gregorian calendar.
-
- at return: a datetime instance, or an array of datetime instances.
-
-The datetime instances returned are 'real' python datetime
-objects if the date falls in the Gregorian calendar (i.e.
-C{calendar='proleptic_gregorian'}, or C{calendar = 'standard'} or C{'gregorian'}
-and the date is after 1582-10-15). Otherwise, they are 'phony' datetime
-objects which support some but not all the methods of 'real' python
-datetime objects. This is because the python datetime module cannot
-the uses the C{'proleptic_gregorian'} calendar, even before the switch
-occured from the Julian calendar in 1582. The datetime instances
-do not contain a time-zone offset, even if the specified C{units}
-contains one.
- """
- cdftime = utime(units, calendar=calendar)
- return cdftime.num2date(times)
-
-
def _check_index(indices, times, nctime, calendar, select):
"""Return True if the time indices given correspond to the given times,
False otherwise.
@@ -1074,7 +981,8 @@ def date2index(dates, nctime, calendar=None, select='exact'):
# Setting the calendar.
if calendar == None:
calendar = getattr(nctime, 'calendar', 'standard')
- times = date2num(dates, nctime.units, calendar=calendar)
+ cdftime = utime(nctime.units,calendar=calendar)
+ times = cdftime.date2num(dates)
return time2index(times, nctime, calendar=calendar, select=select)
diff --git a/setup.cfg b/setup.cfg
index 861a9f5..d4f522a 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,5 +1,48 @@
-[egg_info]
-tag_build =
-tag_date = 0
-tag_svn_revision = 0
-
+# Rename this file to setup.cfg to set build options.
+# Follow instructions below for editing.
+[options]
+# if true, the nc-config script (installed with netcdf 4.1.2 and higher)
+# will be used to determine the locations of required libraries.
+# Usually, nothing else is needed.
+use_ncconfig=True
+# path to nc-config script (use if not found in unix PATH).
+#ncconfig=/usr/local/bin/nc-config
+[directories]
+#
+# If nc-config doesn't do the trick, you can specify the locations
+# of the libraries and headers manually below
+#
+# uncomment and set to netCDF install location.
+# Include files should be located in netCDF4_dir/include and
+# the library should be located in netCDF4_dir/lib.
+# If the libraries and include files are installed in separate locations,
+# use netCDF4_libdir and netCDF4_incdir to specify the locations
+# separately.
+#netCDF4_dir = /usr/local
+# uncomment and set to HDF5 install location.
+# Include files should be located in HDF5_dir/include and
+# the library should be located in HDF5_dir/lib.
+# If the libraries and include files are installed in separate locations,
+# use HDF5_libdir and HDF5_incdir to specify the locations
+# separately.
+#HDF5_dir = /usr/local
+# if HDF5 was built with szip support as a static lib,
+# uncomment and set to szip lib install location.
+# If the libraries and include files are installed in separate locations,
+# use szip_libdir and szip_incdir.
+#szip_dir = /usr/local
+# if netcdf lib was build statically with HDF4 support,
+# uncomment and set to hdf4 lib (libmfhdf and libdf) nstall location.
+# If the libraries and include files are installed in separate locations,
+# use hdf4_libdir and hdf4_incdir.
+#hdf4_dir = /usr/local
+# if netcdf lib was build statically with HDF4 support,
+# uncomment and set to jpeg lib install location (hdf4 needs jpeg).
+# If the libraries and include files are installed in separate locations,
+# use jpeg_libdir and jpeg_incdir.
+#jpeg_dir = /usr/local
+# if netcdf lib was build statically with OpenDAP support,
+# uncomment and set to curl lib install location.
+# If the libraries and include files are installed in separate locations,
+# use curl_libdir and curl_incdir.
+#curl_dir = /usr/local
diff --git a/setup.py b/setup.py
index feff84c..2568fe4 100644
--- a/setup.py
+++ b/setup.py
@@ -1,14 +1,20 @@
import os, sys, subprocess, shutil
try:
from setuptools import setup, Extension
- setuptools_extra_kwargs = {"install_requires": ["numpy>=1.3"]}
+ setuptools_extra_kwargs = {"install_requires":["numpy>=1.3"]}
except ImportError:
from distutils.core import setup, Extension
setuptools_extra_kwargs = {}
from distutils.dist import Distribution
try:
from Cython.Distutils import build_ext
- has_cython = True
+ from Cython import __version__ as cython_version
+ if cython_version >= '0.19':
+ has_cython = True
+ sys.stdout.write('cython version %s found ...\n' % cython_version)
+ else:
+ sys.stdout.write('cython not found or too old...\n')
+ has_cython = False
except ImportError:
has_cython = False
@@ -127,10 +133,13 @@ curl_libdir = os.environ.get('CURL_LIBDIR')
curl_incdir = os.environ.get('CURL_INCDIR')
USE_NCCONFIG = os.environ.get('USE_NCCONFIG')
+if USE_NCCONFIG is not None:
+ USE_NCCONFIG = bool(int(USE_NCCONFIG))
setup_cfg = 'setup.cfg'
# contents of setup.cfg will override env vars.
ncconfig = None
+use_ncconfig = None
if os.path.exists(setup_cfg):
sys.stdout.write('reading from setup.cfg...\n')
config = configparser.SafeConfigParser()
@@ -171,20 +180,30 @@ if os.path.exists(setup_cfg):
except: pass
try: curl_incdir = config.get("directories", "curl_incdir")
except: pass
- try: USE_NCCONFIG = config.get("options", "use_ncconfig")
+ try: use_ncconfig = config.get("options", "use_ncconfig")
except: pass
try: ncconfig = config.get("options", "ncconfig")
except: pass
+# make sure USE_NCCONFIG from environment takes
+# precendence over use_ncconfig from setup.cfg (issue #341).
+if USE_NCCONFIG is None and use_ncconfig is not None:
+ USE_NCCONFIG = bool(use_ncconfig)
+elif USE_NCCONFIG is None:
+ USE_NCCONFIG = False
+
# if USE_NCCONFIG set, and nc-config works, use it.
-if USE_NCCONFIG is not None:
+if USE_NCCONFIG:
# if NETCDF4_DIR env var is set, look for nc-config in NETCDF4_DIR/bin.
if ncconfig is None:
if netCDF4_dir is not None:
ncconfig = os.path.join(netCDF4_dir,'bin/nc-config')
else: # otherwise, just hope it's in the users PATH.
ncconfig = 'nc-config'
- retcode = subprocess.call([ncconfig,'--libs'],stdout=subprocess.PIPE)
+ try:
+ retcode = subprocess.call([ncconfig,'--libs'],stdout=subprocess.PIPE)
+ except:
+ retcode = 1
else:
retcode = 1
@@ -351,7 +370,7 @@ else:
setup(name = "netCDF4",
cmdclass = cmdclass,
- version = "1.1.4.1",
+ version = "1.1.7",
long_description = "netCDF version 4 has many features not found in earlier versions of the library, such as hierarchical groups, zlib compression, multiple unlimited dimensions, and new data types. It is implemented on top of HDF5. This module implements most of the new features, and can read and write netCDF files compatible with older versions of the library. The API is modelled after Scientific.IO.NetCDF, and should be familiar to users of that module.\n\nThis project has a `Sub [...]
author = "Jeff Whitaker",
author_email = "jeffrey.s.whitaker at noaa.gov",
diff --git a/test/tst_endian.py b/test/tst_endian.py
index 06e16ce..693c48e 100644
--- a/test/tst_endian.py
+++ b/test/tst_endian.py
@@ -65,6 +65,26 @@ def issue310(file):
var_big_endian[:].filled())
nc.close()
+def issue346(file):
+ # create a big and a little endian variable
+ xb = np.arange(10, dtype='>i4')
+ xl = np.arange(xb.size, dtype='<i4')
+ nc = netCDF4.Dataset(file, mode='w')
+ nc.createDimension('x', size=xb.size)
+ vb=nc.createVariable('xb', xb.dtype, ('x'),
+ endian='big')
+ vl=nc.createVariable('xl', xl.dtype, ('x'),
+ endian='little')
+ nc.variables['xb'][:] = xb
+ nc.variables['xl'][:] = xl
+ nc.close()
+ nc = netCDF4.Dataset(file)
+ datab = nc.variables['xb'][:]
+ datal = nc.variables['xl'][:]
+ assert_array_equal(datab,xb)
+ assert_array_equal(datal,xl)
+ nc.close()
+
class EndianTestCase(unittest.TestCase):
def setUp(self):
@@ -81,6 +101,7 @@ class EndianTestCase(unittest.TestCase):
check_data(self.file, data)
check_data(self.file2, data)
issue310(self.file)
+ issue346(self.file2)
if __name__ == '__main__':
unittest.main()
diff --git a/test/tst_netcdftime.py b/test/tst_netcdftime.py
index 5b14dca..7e50d38 100644
--- a/test/tst_netcdftime.py
+++ b/test/tst_netcdftime.py
@@ -1,6 +1,6 @@
-from netcdftime import utime, JulianDayFromDate, DateFromJulianDay, date2index
-from netcdftime import datetime as datetimex, date2num
-from netCDF4 import Dataset, num2date
+from netcdftime import utime, JulianDayFromDate, DateFromJulianDay
+from netcdftime import datetime as datetimex
+from netCDF4 import Dataset, num2date, date2num, date2index
import numpy
import random
import sys
@@ -32,6 +32,10 @@ class netcdftimeTestCase(unittest.TestCase):
'hours since 1000-01-01 00:00:00', calendar='julian')
self.cdftime_iso = utime("seconds since 1970-01-01T00:00:00Z")
self.cdftime_leading_space = utime("days since 850-01-01 00:00:00")
+ self.cdftime_mixed_capcal = utime('hours since 0001-01-01 00:00:00',
+ calendar='Standard')
+ self.cdftime_noleap_capcal = utime(
+ 'days since 1600-02-28 00:00:00', calendar='NOLEAP')
def runTest(self):
"""testing netcdftime"""
@@ -205,7 +209,8 @@ class netcdftimeTestCase(unittest.TestCase):
# day goes out of range).
t = 733498.999999
d = num2date(t, units='days since 0001-01-01 00:00:00')
- assert_equal(str(d), '2009-04-01 00:00:00')
+ dateformat = '%Y-%m-%d %H:%M:%S'
+ assert_equal(d.strftime(dateformat), '2009-04-01 00:00:00')
# test edge case of issue 75 for numerical problems
for t in (733498.999, 733498.9999, 733498.99999, 733498.999999, 733498.9999999):
d = num2date(t, units='days since 0001-01-01 00:00:00')
@@ -217,8 +222,10 @@ class netcdftimeTestCase(unittest.TestCase):
assert(d1 == d2)
# check timezone offset
d = datetime(2012, 2, 29, 15)
- assert(self.cdftime_mixed.date2num(
- d) - self.cdftime_mixed_tz.date2num(d) == 6)
+ # mixed_tz is -6 hours from UTC, mixed is UTC so
+ # difference in elapsed time is 6 hours.
+ assert(self.cdftime_mixed_tz.date2num(
+ d) - self.cdftime_mixed.date2num(d) == 6)
# Check comparisons with Python datetime types
d1 = num2date(0, 'days since 1000-01-01', 'standard')
@@ -272,6 +279,139 @@ class netcdftimeTestCase(unittest.TestCase):
for n in range(10):
assert n == int(round(t.date2num(t.num2date(n))))
+ #issue 344
+ units = 'hours since 2013-12-12T12:00:00'
+ assert(1.0 == date2num(num2date(1.0, units), units))
+
+ # test rountrip accuracy
+ # also tests error found in issue #349
+ calendars=['standard', 'gregorian', 'proleptic_gregorian', 'noleap', 'julian',\
+ 'all_leap', '365_day', '366_day', '360_day']
+ dateformat = '%Y-%m-%d %H:%M:%S'
+ dateref = datetime(2015,2,28,12)
+ ntimes = 1001
+ for calendar in calendars:
+ eps = 100.
+ units = 'microseconds since 1800-01-30 01:01:01'
+ microsecs1 = date2num(dateref,units,calendar=calendar)
+ for n in range(ntimes):
+ microsecs1 += 1.
+ date1 = num2date(microsecs1, units, calendar=calendar)
+ microsecs2 = date2num(date1, units, calendar=calendar)
+ date2 = num2date(microsecs2, units, calendar=calendar)
+ err = numpy.abs(microsecs1 - microsecs2)
+ assert(err < eps)
+ assert(date1.strftime(dateformat) == date2.strftime(dateformat))
+ units = 'milliseconds since 1800-01-30 01:01:01'
+ eps = 0.1
+ millisecs1 = date2num(dateref,units,calendar=calendar)
+ for n in range(ntimes):
+ millisecs1 += 0.001
+ date1 = num2date(millisecs1, units, calendar=calendar)
+ millisecs2 = date2num(date1, units, calendar=calendar)
+ date2 = num2date(millisecs2, units, calendar=calendar)
+ err = numpy.abs(millisecs1 - millisecs2)
+ assert(err < eps)
+ assert(date1.strftime(dateformat) == date2.strftime(dateformat))
+ eps = 1.e-4
+ units = 'seconds since 0001-01-30 01:01:01'
+ secs1 = date2num(dateref,units,calendar=calendar)
+ for n in range(ntimes):
+ secs1 += 0.1
+ date1 = num2date(secs1, units, calendar=calendar)
+ secs2 = date2num(date1, units, calendar=calendar)
+ date2 = num2date(secs2, units, calendar=calendar)
+ err = numpy.abs(secs1 - secs2)
+ assert(err < eps)
+ assert(date1.strftime(dateformat) == date2.strftime(dateformat))
+ eps = 1.e-5
+ units = 'minutes since 0001-01-30 01:01:01'
+ mins1 = date2num(dateref,units,calendar=calendar)
+ for n in range(ntimes):
+ mins1 += 0.01
+ date1 = num2date(mins1, units, calendar=calendar)
+ mins2 = date2num(date1, units, calendar=calendar)
+ date2 = num2date(mins2, units, calendar=calendar)
+ err = numpy.abs(mins1 - mins2)
+ assert(err < eps)
+ assert(date1.strftime(dateformat) == date2.strftime(dateformat))
+ eps = 1.e-5
+ units = 'hours since 0001-01-30 01:01:01'
+ hrs1 = date2num(dateref,units,calendar=calendar)
+ for n in range(ntimes):
+ hrs1 += 0.001
+ date1 = num2date(hrs1, units, calendar=calendar)
+ hrs2 = date2num(date1, units, calendar=calendar)
+ date2 = num2date(hrs2, units, calendar=calendar)
+ err = numpy.abs(hrs1 - hrs2)
+ assert(err < eps)
+ assert(date1.strftime(dateformat) == date2.strftime(dateformat))
+ eps = 1.e-5
+ units = 'days since 0001-01-30 01:01:01'
+ days1 = date2num(dateref,units,calendar=calendar)
+ for n in range(ntimes):
+ days1 += 0.00001
+ date1 = num2date(days1, units, calendar=calendar)
+ days2 = date2num(date1, units, calendar=calendar)
+ date2 = num2date(days2, units, calendar=calendar)
+ err = numpy.abs(days1 - days2)
+ assert(err < eps)
+ assert(date1.strftime(dateformat) == date2.strftime(dateformat))
+
+ # issue 353
+ assert (num2date(0, 'hours since 2000-01-01 0') ==
+ datetime(2000,1,1,0))
+
+ # issue 354
+ num1 = numpy.array([[0, 1], [2, 3]])
+ num2 = numpy.array([[0, 1], [2, 3]])
+ dates1 = num2date(num1, 'days since 0001-01-01')
+ dates2 = num2date(num2, 'days since 2001-01-01')
+ assert( dates1.shape == (2,2) )
+ assert( dates2.shape == (2,2) )
+ num1b = date2num(dates1, 'days since 0001-01-01')
+ num2b = date2num(dates2, 'days since 2001-01-01')
+ assert( num1b.shape == (2,2) )
+ assert( num2b.shape == (2,2) )
+ assert_almost_equal(num1,num1b)
+ assert_almost_equal(num2,num2b)
+
+ # issue 357 (make sure time zone offset in units done correctly)
+ # Denver time, 7 hours behind UTC
+ units = 'hours since 1682-10-15 -07:00 UTC'
+ # date after gregorian switch, python datetime used
+ date = datetime(1682,10,15) # assumed UTC
+ num = date2num(date,units)
+ # UTC is 7 hours ahead of units, so num should be 7
+ assert (num == 7)
+ assert (num2date(num, units) == date)
+ units = 'hours since 1482-10-15 -07:00 UTC'
+ # date before gregorian switch, netcdftime datetime used
+ date = datetime(1482,10,15)
+ num = date2num(date,units)
+ date2 = num2date(num, units)
+ assert (num == 7)
+ assert (date2.year == date.year)
+ assert (date2.month == date.month)
+ assert (date2.day == date.day)
+ assert (date2.hour == date.hour)
+ assert (date2.minute == date.minute)
+ assert (date2.second == date.second)
+
+ # issue 362: case insensitive calendars
+ self.assertTrue(self.cdftime_mixed_capcal.calendar == 'standard')
+ self.assertTrue(self.cdftime_noleap_capcal.calendar == 'noleap')
+ d = datetime(2015, 3, 4, 12, 18, 30)
+ units = 'days since 0001-01-01'
+ for cap_cal, low_cal in (('STANDARD', 'standard'),
+ ('NoLeap', 'noleap'),
+ ('Gregorian', 'gregorian'),
+ ('ALL_LEAP', 'all_leap')):
+ d1 = date2num(d, units, cap_cal)
+ d2 = date2num(d, units, low_cal)
+ self.assertEqual(d1, d2)
+ self.assertEqual(num2date(d1, units, cap_cal),
+ num2date(d1, units, low_cal))
class TestDate2index(unittest.TestCase):
@@ -375,7 +515,7 @@ class TestDate2index(unittest.TestCase):
def test_select_dummy(self):
nutime = self.TestTime(datetime(1950, 1, 1), 366, 24,
- 'hours since 1900-01-01', 'standard')
+ 'hours since 1400-01-01', 'standard')
dates = [datetime(1950, 1, 2, 6), datetime(
1950, 1, 3), datetime(1950, 1, 3, 18)]
@@ -427,7 +567,6 @@ class TestDate2index(unittest.TestCase):
ValueError, date2index, datetime(1978, 1, 1), nutime, select='after')
# test microsecond and millisecond units
unix_epoch = "milliseconds since 1970-01-01T00:00:00Z"
- from netCDF4 import date2num
d = datetime(2038, 1, 19, 3, 14, 7)
millisecs = int(
date2num(d, unix_epoch, calendar='proleptic_gregorian'))
@@ -438,7 +577,6 @@ class TestDate2index(unittest.TestCase):
# test microsecond accuracy in date2num/num2date roundtrip
# note: microsecond accuracy lost for time intervals greater
# than about 270 years.
- from dateutil.tz import tzutc
units = 'microseconds since 1776-07-04 00:00:00-12:00'
dates =\
[datetime(1962, 10, 27, 6, 1, 30, 9001), datetime(
@@ -446,7 +584,7 @@ class TestDate2index(unittest.TestCase):
times2 = date2num(dates, units)
dates2 = num2date(times2, units)
for date, date2 in zip(dates, dates2):
- assert_equal(date.replace(tzinfo=tzutc()), date2)
+ assert_equal(date, date2)
f.close()
if __name__ == '__main__':
diff --git a/test/tst_slicing.py b/test/tst_slicing.py
index dfb0870..ee6fbc4 100644
--- a/test/tst_slicing.py
+++ b/test/tst_slicing.py
@@ -109,6 +109,15 @@ class VariablesTestCase(unittest.TestCase):
assert_array_equal(a[...], b[...])
dset.close()
+ def test_issue371(self):
+ dataset = Dataset(self.file, 'w')
+ dataset.createDimension('dim', 5)
+ var = dataset.createVariable('bar', 'i8', ('dim', ))
+ data = [1, 2, 3, 4, 5]
+ var[..., :] = data
+ assert_array_equal(var[..., :], np.array(data))
+ dataset.close()
+
def test_issue306(self):
f = Dataset(self.file,'w')
nlats = 7; lat = f.createDimension('lat',nlats)
diff --git a/test/tst_utils.py b/test/tst_utils.py
index 946d5be..dcae845 100644
--- a/test/tst_utils.py
+++ b/test/tst_utils.py
@@ -126,6 +126,7 @@ class TestgetStartCountStride(unittest.TestCase):
assert_equal(stride, 1)
assert_equal(put_ind, -1)
+ # test conversion of a integer index array to a slice
elem = (np.array([0]))
start, count, stride, put_ind = nc._StartCountStride(elem, (10,))
assert_equal(start, 0)
diff --git a/utils.pyx b/utils.pyx
index 9769ec2..6338265 100644
--- a/utils.pyx
+++ b/utils.pyx
@@ -1,16 +1,14 @@
-from datetime import timedelta, datetime
+from datetime import timedelta, datetime, MINYEAR
+from netcdftime import _parse_date
+# start of the gregorian calendar
gregorian = datetime(1582,10,15)
def _dateparse(timestr):
"""parse a string of the form time-units since yyyy-mm-dd hh:mm:ss,
return a datetime instance"""
- try:
- import dateutil.parser as dparse
- from dateutil.tz import tzutc
- except ImportError:
- msg = 'dateutil module required for accuracy < 1 second'
- raise ImportError(msg)
+ # same as version in netcdftime, but returns a timezone naive
+ # python datetime instance with the utc_offset included.
timestr_split = timestr.split()
units = timestr_split[0].lower()
if timestr_split[1].lower() != 'since':
@@ -18,9 +16,11 @@ def _dateparse(timestr):
# parse the date string.
n = timestr.find('since')+6
isostring = timestr[n:]
- basedate = dparse.parse(isostring)
- if basedate.tzinfo is None:
- basedate = basedate.replace(tzinfo=tzutc())
+ year, month, day, hour, minute, second, utc_offset =\
+ _parse_date( isostring.strip() )
+ basedate = datetime(year, month, day, hour, minute, second)
+ # add utc_offset to basedate time instance (which is timezone naive)
+ basedate += timedelta(days=utc_offset/1440.)
return basedate
# utility functions (visible from python).
@@ -105,10 +105,8 @@ The datetime objects should not include a time-zone offset.
@param units: a string of the form C{'B{time units} since B{reference time}}'
describing the time units. B{C{time units}} can be days, hours, minutes,
seconds, milliseconds or microseconds. B{C{reference time}} is the time
-origin. Milliseconds and microseconds
-can only be used with the proleptic_gregorian calendar, or the standard
-and gregorian calendars if the time origin is after 1582-10-15.
-A valid choice would be units=C{'milliseconds since 1800-01-01 00:00:00-6:00'}.
+origin. Accuracy is somewhere between a millisecond and a microsecond,
+depending on the time interval and the calendar used.
@param calendar: describes the calendar used in the time calculations.
All the values currently defined in the U{CF metadata convention
@@ -119,33 +117,33 @@ Default is C{'standard'}, which is a mixed Julian/Gregorian calendar.
@return: a numeric time value, or an array of numeric time values.
"""
+ basedate = _dateparse(units)
unit = units.split()[0].lower()
- if unit in ['microseconds','milliseconds','microsecond','millisecond']:
- basedate = _dateparse(units)
- from dateutil.tz import tzutc
- if calendar != 'proleptic_gregorian' and not \
- (calendar in ['gregorian','standard'] and \
- basedate > gregorian.replace(tzinfo=tzutc())):
- msg = 'milliseconds/microseconds not supported for this calendar'
- raise ValueError(msg)
+
+ if (calendar == 'proleptic_gregorian' and basedate.year >= MINYEAR) or \
+ (calendar in ['gregorian','standard'] and basedate > gregorian):
# use python datetime module,
isscalar = False
try:
dates[0]
except:
isscalar = True
- if isscalar: dates = [dates]
+ if isscalar:
+ dates = numpy.array([dates])
+ else:
+ dates = numpy.array(dates)
+ shape = dates.shape
ismasked = False
if hasattr(dates,'mask'):
mask = dates.mask
ismasked = True
times = []
- for date in dates:
+ for date in dates.flat:
if ismasked and not date:
times.append(None)
else:
- date = date.replace(tzinfo=tzutc())
td = date - basedate
+ # total time in microseconds.
totaltime = td.microseconds + (td.seconds + td.days * 24 * 3600) * 1.e6
if unit == 'microseconds' or unit == 'microsecond':
times.append(totaltime)
@@ -153,6 +151,8 @@ Default is C{'standard'}, which is a mixed Julian/Gregorian calendar.
times.append(totaltime/1.e3)
elif unit == 'seconds' or unit == 'second':
times.append(totaltime/1.e6)
+ elif unit == 'minutes' or unit == 'minute':
+ times.append(totaltime/1.e6/60)
elif unit == 'hours' or unit == 'hour':
times.append(totaltime/1.e6/3600)
elif unit == 'days' or unit == 'day':
@@ -160,8 +160,8 @@ Default is C{'standard'}, which is a mixed Julian/Gregorian calendar.
if isscalar:
return times[0]
else:
- return times
- else: # if only second accuracy required, can use other calendars.
+ return numpy.reshape(numpy.array(times), shape)
+ else: # use netcdftime module for other calendars
cdftime = netcdftime.utime(units,calendar=calendar)
return cdftime.date2num(dates)
@@ -180,10 +180,8 @@ C{units} contain a time-zone offset.
@param units: a string of the form C{'B{time units} since B{reference time}}'
describing the time units. B{C{time units}} can be days, hours, minutes,
seconds, milliseconds or microseconds. B{C{reference time}} is the time
-origin. Milliseconds and microseconds
-can only be used with the proleptic_gregorian calendar, or the standard
-and gregorian calendars if the time origin is after 1582-10-15.
-A valid choice would be units=C{'milliseconds since 1800-01-01 00:00:00-6:00'}.
+origin. Accuracy is somewhere between a millisecond and a microsecond,
+depending on the time interval and the calendar used.
@keyword calendar: describes the calendar used in the time calculations.
All the values currently defined in the U{CF metadata convention
@@ -195,37 +193,38 @@ Default is C{'standard'}, which is a mixed Julian/Gregorian calendar.
@return: a datetime instance, or an array of datetime instances.
The datetime instances returned are 'real' python datetime
-objects if the date falls in the Gregorian calendar (i.e.
-C{calendar='proleptic_gregorian'}, or C{calendar = 'standard'} or C{'gregorian'}
-and the date is after 1582-10-15). Otherwise, they are 'phony' datetime
+objects if C{calendar='proleptic_gregorian'}, or
+C{calendar = 'standard'} or C{'gregorian'}
+and the date is after the breakpoint between the Julian and
+Gregorian calendars (1582-10-15). Otherwise, they are 'phony' datetime
objects which support some but not all the methods of 'real' python
-datetime objects. This is because the python datetime module cannot
-the uses the C{'proleptic_gregorian'} calendar, even before the switch
-occured from the Julian calendar in 1582. The datetime instances
+datetime objects. The datetime instances
do not contain a time-zone offset, even if the specified C{units}
contains one.
"""
+ calendar = calendar.lower()
+ basedate = _dateparse(units)
unit = units.split()[0].lower()
- if unit in ['microseconds','milliseconds','microsecond','millisecond']:
- basedate = _dateparse(units)
- from dateutil.tz import tzutc
- if calendar != 'proleptic_gregorian' and not \
- (calendar in ['gregorian','standard'] and \
- basedate > gregorian.replace(tzinfo=tzutc())):
- msg = 'milliseconds/microseconds not supported for this calendar'
- raise ValueError(msg)
+
+ if (calendar == 'proleptic_gregorian' and basedate.year >= MINYEAR) or \
+ (calendar in ['gregorian','standard'] and basedate > gregorian):
+ # use python datetime module,
isscalar = False
try:
times[0]
except:
isscalar = True
- if isscalar: times = [times]
+ if isscalar:
+ times = numpy.array([times],dtype='d')
+ else:
+ times = numpy.array(times, dtype='d')
+ shape = times.shape
ismasked = False
if hasattr(times,'mask'):
mask = times.mask
ismasked = True
dates = []
- for time in times:
+ for time in times.flat:
if ismasked and not time:
dates.append(None)
else:
@@ -236,6 +235,8 @@ contains one.
tsecs = time/1.e3
elif unit == 'seconds' or unit == 'second':
tsecs = time
+ elif unit == 'minutes' or unit == 'minute':
+ tsecs = time*60.
elif unit == 'hours' or unit == 'hour':
tsecs = time*3600.
elif unit == 'days' or unit == 'day':
@@ -244,7 +245,7 @@ contains one.
days = tsecs // 86400.
msecsd = tsecs*1.e6 - days*86400.*1.e6
secs = msecsd // 1.e6
- msecs = int(msecsd - secs*1.e6)
+ msecs = numpy.round(msecsd - secs*1.e6)
td = timedelta(days=days,seconds=secs,microseconds=msecs)
# add time delta to base date.
date = basedate + td
@@ -252,8 +253,8 @@ contains one.
if isscalar:
return dates[0]
else:
- return dates
- else: # if only second accuracy required, can use other calendars.
+ return numpy.reshape(numpy.array(dates), shape)
+ else: # use netcdftime for other calendars
cdftime = netcdftime.utime(units,calendar=calendar)
return cdftime.num2date(times)
@@ -286,23 +287,17 @@ correspond to the closest dates.
@return: an index (indices) of the netCDF time variable corresponding
to the given datetime object(s).
"""
- unit = nctime.units.split()[0].lower()
if calendar == None:
calendar = getattr(nctime, 'calendar', 'standard')
- if unit in ['microseconds','milliseconds','microsecond','millisecond']:
- # for microsecond and/or millisecond accuracy, convert dates
- # to numerical times, then use netcdftime.time2index.
- basedate = _dateparse(nctime.units)
- from dateutil.tz import tzutc
- # can only use certain calendars.
- if calendar != 'proleptic_gregorian' and not \
- (calendar in ['gregorian','standard'] and \
- basedate > gregorian.replace(tzinfo=tzutc())):
- msg = 'milliseconds/microseconds not supported for this calendar'
- raise ValueError(msg)
+ calendar = calendar.lower()
+ basedate = _dateparse(nctime.units)
+
+ if (calendar == 'proleptic_gregorian' and basedate.year >= MINYEAR) or \
+ (calendar in ['gregorian','standard'] and basedate > gregorian):
+ # use python datetime
times = date2num(dates,nctime.units,calendar=calendar)
return netcdftime.time2index(times, nctime, calendar, select)
- else: # if only second accuracy required, can use other calendars.
+ else: # use netcdftime module for other cases
return netcdftime.date2index(dates, nctime, calendar, select)
def getlibversion():
--
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